Organizing Committee (PDF) by MikeJenny

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									  Organizing Committee

Honorary Chairs                    Publication Chairs
  Lothfi A. Zadeh                    Bambang Sumantri
  Kaoru Hirota                       Adi Wibowo
  Masao Mukaidono                    Iwan Njoto Sandjaja
                                     Setia Wardhana
General Chair                        Rizky Yuniar Hakkun
  Son Kuswadi                        Zaqiatud Darojah

General Co-chairs                  Local Organizing Chairs
  Rolly Intan                        Indra Adji Sulistijono
  Anto S. Nugroho                    Handy Wicaksono

Program Chairs                     Registration Chairs
  M. Rahmat Widyanto                 Indah Agustien
  Yasufumi Takama                    Silvia Rostianingsih
                                     Rudy Adipranata
Publicity Chairs
  Bernadetta K. Ane                Socail Activity Chairs
  Shun-Feng Si                       Ahmad Rusdiansyah
  Chang-Shin Lee                     Yudi Agusta
  Eko Henfri B.                      I Putu Susila
  Ford Lumban Gaol

Finance Chairs
  Justinus Andjarwirawan
  Nu Rhahida Arini

Tutorial & Special Session Chair
  Pitoyo Hartono

Online System Chairs
  I Putu Susila
  Mohamad Safrodin
  Idris Winarno
   Program Committee

Honorary Chairs                         International Program Committees
  Lothfi A. Zadeh                         Allel Hadjali (France)
  Kaoru Hirota                            Arsham Borumand Saied (Iran)
  Masao Mukaidono                         Bart Kosko (USA)
                                          Bernadetta Kwintiana Ane (Germany)
General Chair                             Berlin Wu (Taiwan)
  Son Kuswadi (Indonesia)                 Bernadette Bouchon-Meunier (France)
                                          E. A. Haroutunian (Republic of Armenia)
General Co-chairs                         Edgar N. Sanchez
  Rolly Intan (Indonesia)                 Eduardo Gomez-Ramirez (Mexico)
  Anto S. Nugroho (Indonesia)             Ferdinando Di Martino (Italy)
                                          Fernando A.C. Gomide (Brazil)
Program Chairs                            Florence Sèdes (France)
  M. Rahmat Widyanto (Indonesia)          Gancho Vachkov (Japan)
  Yasufumi Takama (Japan)                 Grant R. Pogosyan (Japan)
                                          Guy De Tre (Belgium)
Advisory Committees                       Hajime Nobuhara (Japan)
  Bernadette Bouchon-Meunier (France)     Hiroaki Kikuchi (Japan)
  Chin-Teng Lin (Taiwan)                  Hsiao-Fan Wang (Japan)
  Christer Carlsson (Finland)             I Putu Susila (Indonesia)
  Enric Trillas (Spain)                   Indra Adji Sulistijono (Indonesia)
  Henri Prade (France)                    Irina Perfilieva (Czech Republic)
  I. Burhan Turksen (Turkey)              Jeroen De Bruin (Austria)
  Ildar Batyrshin (Russia)                Jorma K. Martilla (Finland)
  Imre J. Rudas (Hungary)                 Juan R. Castro (Mexico )
  Jaime Gil Aluja (Spain)                 K. S. Leung (Hong Kong)
  Janusz Kacprzyk (Poland)                Kazuhiko Kawamoto (Japan)
  Javier Montero (Spain)                  Klaus-Peter Adlassnig (Austria)
  José Luis Verdegay (Spain)              Koichi Yamada (Japan)
  Jyh-Horng Chuo (Taiwan)                 Lyfie Sugianto (Australia )
  Koichi Yamada (Japan)                   M. Kuchaki Rafsanjani (Iran)
  Laszlo Koczy (Hungary)                  Marimin (Indonesia)
  Luis Magdalena (Spain)                  Mehdi Roopaei (Iran)
  M.R. Akbarzadeh (Iran)                  Michinori Nakata (Japan)
  Mao-Kang Luo (China)                    Mokhtar Beldjehem (Canada)
  Marek Reformat (Canada)                 Noboru Takagi (Japan)
  Nguyen Hoang Phuong (Vietnam)           Okyay Kaynak (Turkey)
  Oscar Castillo (Mexico)                 Olivier Pivert (France)
  Patricia Melin (Mexico)                 Oscar Montiel (Mexico)
  Pratit Santiprabhob (Thailand)          Peter Adlassnig
  Ricardo Tanscheit (Brazil)              Pitoyo Hartono (Japan)
  Rudolf Kruse (Germany)                  Roberto Sepulveda (IPN)
  Sung-Shin Kim (South Korea)             R. R. Yager (USA)
  Takeshi Furuhashi (Japan)               Salvatore Sessa (Italy)
  Tomohiro Takagi (Japan)                 Sani Susanto (Indonesia)
  Vesa Niskanen (Findland)                Slawomir Zadrozny (Poland)
  Witold Pedrycz (Canada)                 Shoumei LI
  Ying-Ming Liu (China)                   Suash Deb (India)
  Z. Zenn Bien (South Korea)              Takashi Yamakawa (Japan)
   Program Committee
Takehisa Onisawa (Japan)
Thomas Sri Widodo (Indonesia)
Tom Matthe (Belgium)
Toshio Fukuda (Japan)
Tru Hoang Tru Cao (Vietnam)
Tuan A. Duong (USA)
Vilem Novak (Czech Republic)
Vladik Kreinovich (USA)
Witold Pedrycz (Canada)
Wu Congxin
Yasufumi Takama (Japan)
Ying-Ming Liu (China)
Yusuke Nojima (Japan)
   Message from the Minister of Education
                                 Prof. Dr. Ir. Muhammad Nuh, DEA

Welcome to Indonesia!

Welcome to the country 17 thousand islands, the country with various unique cultures, diverse
natural riches and friendly people charming. Over the next few days you will discuss, share
knowledge and experience and do not forget to enjoy the many unique cultures and natural beauty
of Indonesia. Although very limited time available, I am sure you will get to know more closely this
beautiful country and will return again one day, by providing more time and bring along friends and
family to visit here. With the country almost the width of Europe, of course, this visit is merely an
instant eye journey that I believe will make you addicted to return again.

International conferences in the field of both fuzzy theory, application and implementation of such
technology is a positive activity that is very worthy of support as a vehicle for scientific
communication that will support the efforts of empowering, enlightening and improving mastery
and utilization of science and technology for the welfare of the nation.

In addition, this activity is an effort to improve human relations which will help to understand each
other differences and advantages of each so that will be able to optimize the collaborative efforts in
mastering science and technology through resource sharing, process integration and utilization of IT.

This will be achieved when we first met physically, interact intensely with a gesture which we are
familiar with so that the optimization efforts can work better.

On this occasion I proposed the researchers in the field of fuzzy and softcomputing in general to
participate in solving national or international development problems. For example, by solving
problems of resource allocation optimization, modeling, analysis and economic control strategies,
taking into account political, cultural and historical constraints of a nation. Various scenarios for
improving the life of nations should be generated from this field research, which I know well the
potential power of softcomputing to produce, with the increasing sophistication of existing
computer hardware, in addition to the more advanced theories and techniques of softcomputing
optimization. Thus, fuzzy scientists and engineers are not stuck in the "ivory tower", preoccupied
with oneself without regard to the environment in which they live.

Have a good conference!

Mohammad NUH

Ministry of National Education
   Message from the President of IFSA
                                            Prof. Kaoru Hirota

Welcome to WCIFSA2011, Surabaya-Bali, Indonesia

On behalf of the IFSA (International Fuzzy Systems Association) officers, it is our pleasure to
welcome all delegates, representatives, and participants from all around the world to the
WCIFSA2011 (World Congress of International Fuzzy Systems Association 2011) and jointly held
AFSS2011 (Asia Fuzzy Systems Society International Conference 2011) in Surabaya and Bali Island,

The main congress is held in the second biggest Indonesian city Surabaya followed by the RTD
(Round Table Discussion) in Bali Island, Asian Pacific number one resort area. The WCIFSA2011
covers a wide spectrum of science and technology on Soft Computing or Computational Intelligence.

The conference plenary talks and technical sessions have carefully been chosen to seek future
directions on Soft Computing or Computational Intelligence. This conference will provide a great
opportunity for leading international researchers of the various fields to discuss a wide range of
problems regarding high technologies in Soft Computing or Computational Intelligence. We are
confident that participants will enjoy informative sessions and exciting discussions in RTD.

We also appreciate all contributions and cooperation by the committee members, sponsoring
societies and organizations towards the success of the conference. Especially, we acknowledge the
Indonesian Society for Soft Computing for their successful arrangement of this conference.

We do hope that this conference will highly be successful and fruitful to all participants and that you
will fully enjoy the conference in both its technical and social aspects.

IFSA (International Fussy Systems Association) president,

Prof. Kaoru Hirota,

Tokyo Institute of Technology, Japan
     Message from the Chairman of AFSS
                                    Prof. Masao Mukaidono

AFSS (Asia Fuzzy Systems Society) International Conference was firstly planned and held in Singapore
1993 by the efforts of late Dr. Zulian Shen, who was intellectual and trustworthy my research
colleague. The original aim of the conference was to encourage the research on fuzzy theory and its
applications in Asia by holding it mainly in Asia and Pacific Arias and by discussing hot topics on fuzzy
theory with many researchers from all parts of the world. This conference now covers all aspects of
soft computing such as fuzzy logic, neural networks and etc. including both theories and applications
in intelligent system and information technology.

 The second AFSS International Conference was held in Kenting, Taiwan in 1996, the third was in
Masan, Korea in 1998, the fourth was in Tsukuba, Japan in 2000, the fifth was in Calcutta, India in
2002, the sixth was in Hanoi, Vietnam in 2004, and the seventh was in Hebei Province, P. R. China in
2006. The eighth was at first planned to be held in Bali, Indonesia in 2010, but since the IFSA
(International Fuzzy Systems Association) World Congress will be held also in Indonesia in 2011, so it
is decided that the two conferences are held together in 2011. Thus, 2011 IFSA World Congress and
2011 AFSS are held jointly in Surabaya and the round table is in Bali Island, Indonesia.

 Indonesia is the best Asia Pacific tourist resort where you can see many historical and cultural
monuments of the crossroad of Asia, Europe and Arabic. Surabaya is the capital of East Java Province
which is also a business and industrial center of Indonesia in its history. Bali Island is very famous
and an attractive place for tourism because of its traditional culture and arts, such as dance, music,
historical sites and temples. By choosing these venues, participants of the conference are expected
to have nice experience during their contribution and discussions at the conferences.

I would like to give my special thanks to Prof. Rolly Intan, General Co-chare, with the thanks to Prof.
Son Kuswadi, General Chair, Prof. Anto S. Nugroho, General Co-chare, M. Rahmat Widyanto and
Yasufumi Takama, Program Chairs , and other colleagues, who put their efforts to host the 2011
IFSA-2011 AFSS joint conferences.

Finally, I do hope these joint conferences would be successful and fruitful.

Chairman of Asia Fuzzy Systems Society

Prof. Masao Mukaidono

Meiji University
    Message from the President of SC-INA
                                     Dr. Ir. Son Kuswadi

It is a great honor for Indonesian Society for Soft-Computing (SC-INA) to be the host of the 2011 IFSA
World Congress and AFSS International Conference, held in Surabaya and Denpasar Bali, Indonesia.
This conference is a series of IFSA conference, which were conducted since more than two decades
ago. The last congress was held in Lisbon, Portugal (2009) and the next one will be held in
Edmonton Canada (2013).

Welcome to Indonesia, to all contributors who have          come        and share knowledge         and
experiences. I highly appreciate your contribution to the       success    of      this conference. The
conference provides a platform for the exchange of ideas and technical interaction. As a premier
international      congress in the areas of fuzzy sets and soft    computing, this event     will    of
bring together scientists, engineers and practitioners working in fuzzy logic and related areas
 to present their research.

In addition, do not forget to watch and enjoy the diverse cultural and natural charm Indonesia,
ranging from beautiful        natural scenery, a         variety      of clothing and food, dance
performances and an amazing variety       of traditional arts. Make    sure you came        home
with sweet memories of the friendliness of the people, natural beauty and diverse and fascinating
culture of Indonesia.

SC-INA established February 3, 2002, our member 868 professional (as May, 2011) Indonesian from
various circles both at home and abroad. SC-INA has conducted various workshops, conferences,
seminars and publications in various fields of research scope of soft-computing. With a diversity of
professions and expertise of its members, the SC-INA has contributed well for human resource
development and nation building.

SC-INA was formed as an effort to dissemination soft-computing theory and applications, as a forum
for researchers, students and people from various disciplines to present their research results, share
knowledge and experiences. This group is open to anyone who wants to know or deepen
their knowledge and application of soft computing. It is expected that this society can promote the
development of softcomputing and its application in Indonesia

As a     member       of IFSA    since    2009, SC-INA feels indebted to       host the world congress.
Therefore, we are grateful especially to Prof. K. Hirota, President of IFSA and all council members for
their        generous         support. Thanks also to the         Minister of        National Education,
Prof. Mohammad NUH who has           been      instrumental      in    supporting to      the    success
of this conference. The support and assistance from the Rector of ITS, Prof. Triyogi Yuwono, Rector
of Petra Christian University, Prof. Rolly Intan and EEPIS Director, Dr. Dadet Pramadihanto
very helpful for the implementation of this conference. Friends of SC-INA members, especially
those     involved as chair and members who have    been preparing   for this congress since
two years ago deserves high appreciation.

Son Kuswadi, General Chair

President of SC-INA
    Conference Agenda

Tuesday, 21 June 2011
 07.30-08.30   Registration (venue: EEPIS)
 08.30-09.00   Opening Speeches: (venue: EEPIS)
                   - Rector of ITS
                   - General Chair of IFSA-AFSS 2011
                   - President of IFSA
                   - President of AFSS
 09.00-10.00   Keynote Speech I (venue: EEPIS)
                 “Balancing Interpretability and Representativeness of Information
                 Granules in Fuzzy Clustering”, Prof. Andrzej Bargiela
 10.00-10.15   Break
 10.15-12.15   Parallel Session I: (venue: EEPIS)
                   - Room 1: Hybrid Fuzzy Systems : 4 papers
                   - Room 2: Fuzzy Prediction : 3 papers
                   - Room 3: Intelligent Transportation : 3 papers
                   - Room 4: Organized Session-5: Soft Computing and Disaster Control
                               : 2 papers
 12.15-13.15   Luncheon
 13.15-15.15   Parallel Session II (venue: EEPIS)
                   - Room 1: Organized Session Startup Research for Young Scientists (1)
                               : 3 papers
                   - Room 2: Fuzzy Control (1) : 4 papers
                   - Room 3: Fuzzy Decision Making (1) : 4 papers
                   - Room 4: Computational Intelligence (1) : 4 papers
 15.15-15.30   Break
 15.30-17.30   Parallel Session III (venue: EEPIS)
                   - Room 1: Organized Session Startup Research for Young Scientists (2)
                               : 3 papers
                   - Room 2: Fuzzy Control (2) : 4 papers
                   - Room 3: Fuzzy Decision Making (2) : 4 papers
                   - Room 4: Real-World Applications (1) : 4 papers
    Conference Agenda
Wednesday, 22 June 2011
08.00-09.00    Registration
09.00-10.00    Keynote Speech II (venue: EEPIS)
               “Finding Minimal Neural Networks for Business Intelligence
               Applications”, Prof. Rudy Setiono
10.00-10.15    Break
10.15-12.15    Parallel Session IV (venue: EEPIS)
                   - Room 1: Fuzzy Sets : 4 papers
                   - Room 2: Fuzzy Numbers : 3 papers
                   - Room 3: Fuzzy Inference : 4 papers
                   - Room 4: Fuzzy Space & Optimization : 4 papers
                   - Room 5: Social Applications : 3 papers
12.15-13.15     Luncheon
13.15-15.15     Parallel Session V (venue: EEPIS)
                   - Room 1: Organized Session-4: Hybrid Intelligent Systems (1)
                                 : 4 papers
                   - Room 2: Organized Session-3: Fuzzy Algebraic Structure (1)
                                 : 4 papers
                   - Room 3: Organized Session-2: Fuzzy Functions, Relations, and
                                 Fuzzy Transforms: Applications to Fuzzy Systems
                                 (1): 3 papers
                   - Room 4: Fuzzy Theory (1) : 4 papers
                   - Room 5: Computational Intelligence (2) : 3 papers
15.15-15.30     Break
15.30-17.30     Parallel Session VI (venue: EEPIS)
                   - Room 1: Organized Session-4 : Hybrid Intelligent Systems (2)
                                 : 3 papers
                   - Room 2: Organized Session-3: Fuzzy Algebraic Structure (2)
                                 : 3 papers
                   - Room 3: Organized Session-2 : Fuzzy Functions, Relations, and
                                 Fuzzy Transforms: Applications to Fuzzy Systems
                                 (2): 3 papers
                   - Room 4: Fuzzy Theory (2) : 4 papers
                   - Room 5: Real-World Applications (2) : 4 papers

Thursday - Saturday, 23-25 June 2011
                 Round Table Discussion (venue: Denpasar, Bali)
    Parallel Session

Time allocated for each presenter is 20 minutes.
Tuesday, 21 June 2011
10.15-12.15   Parallel Session I
              Room 1             : Hybrid Fuzzy Systems
               Session Chair : Shinji Fukuda, Kyushu University
              HF-001 Shinji Fukuda , “Application of Fuzzy Neural Network Model to Evaluate
                        Habitat Preference of Japanese Medaka (Oryzias Latipes)”.
              HF-002 Taufik Djatna, Ditdit N. Utama, “Fuzzy Ant Colony Based on Generic Model
                        for Supply Chain Performance Measurement”.
              HF-003 Intan Nurma Yulita, The Houw Liong, Adiwijaya, “Fuzzy Hidden Markov
                        Models for Indonesian Speech Classification”.
              HF-004 Setiawardhana, Sigit Wasista, Djoko Purwanto, “Facial Tracking Using PTZ
                        Camera with MIMO Adaptive Neuro-Fuzzy Inference System”.

              Room 2           : Fuzzy Prediction
              Session Chair : Mrinalini Shah, Inst. of Mgmt. Technology, Ghaziabad
              FP-001 Mrinalini Shah, “Improved realistic fuzzy time series method to predict Gross
                       domestic capitol”.
              FP-002 Nadezhda Yarushkina, Tatjana Afanaseva, Anton Romanov, Irina Perfilieva,
                       “Granular Time Series and Fuzzy Tendencies Forecasting”.
              FP-003 Bagus Tris Atmaja, Dhany Arifianto, “Machinery Fault Identification Using
                       Blind Sound Separation and Fuzzy System”.

              Room 3           : Intelligent Transportation
              Session Chair : Takamasa Akiyama, Kansai University
              IT-001 Takamasa Akiyama, Masashi Okushima, Madhu Errampalli, “Car-Following
                       Model with Fuzzy Reasoning Approach for Microscopic Network Traffic
              IT-002 Angga Rusdinar, Gyeongdong Baek, Sungshin Kim, “Identifiable Landmark
                       Recognition based on Fuzzy Inference System For Automatic Vehicle
              IT-003 Seiji Yasunobu, Fan Zhang, “An Intelligent Driving Assistant System Based on
                       Evaluation of Operations”.

              Room 4           : Organized Session-5: Soft Computing and Disaster Control
              Session Chair : Hajime Nobuhara, University of Tsukuba
              OS-501 Seiji Yasunobu, Sadaaki Miyamoto, Takehisa Onisawa, Gaku Shoji, Yasunori
                        Endo, Hajime Nobuhara, Takeshi Shibuya, Kodai Takashima, Rui Wang,
                        Naotsugu Yoshinaga, Hasanah Nur, Masanori Kimura, Syafiq Kamarulzaman,
                        Kazuki Kuribayashi, “Efficient Prediction of Earthquake Damage based on
                        Wireless Personal Area Networks”.
              OS-502 Reggio Nurtanio Hartono, M. Rahmat Widyanto, Nurtami Soedarsono,
                        Hajime Nobuhara, “Ethnic Inference in DNA Profile Matching with Fuzzy
                        Logic System using Discrete Membership Function”.
    Parallel Session
Tuesday, 21 June 2011
13.15-15.15   Parallel Session II
              Room 1            : Organized Session Startup Research for Young Scientists (1)
               Session Chair : Pitoyo Hartono, Chukyo University
              OY-101 Chastine Fatichah, Martin L. Tangel, M. Rahmat Widyanto, Fangyan Dong,
                         Kaoru Hirota, “Parameter Optimization of Local Fuzzy Patterns for Extracting
                         White Blood Cell Texture Feature”.
              OY-102 Martin L. Tangel, Chastine Fatichah, M. R. Widyanto, Fangyan Dong, Kaoru
                         Hirota, “Multiscale Image Analysis for Dental Radiograph Segmentation”.
              OY-103 Fitra A. Bachtiar, Katsuari Kamei, Eric Cooper, “An Estimation Model of
                         English Abilities of Students Based on Their Affective Factors in Learning by
                         Neural Network”,

              Room 2         : Fuzzy Control (1)
              Session Chair : Agus Naba, Brawijaya University
              FC-101 Agus Naba, Ahmad Nadhir, Takashi Hiyama, “Fuzzy model power curve
                       based linear controller for maximum wind energy extraction in variable
                       speed wind energy conversion system”,
              FC-102 Yao-Chu Hsueh, Shun-Feng Su, “Direct Adaptive Fuzzy Control For A Class of
                       Under-actuated Uncertain Systems”.
              FC-103 Hsin-Yu Liu, Che-Han Chang, Rong-Jyue Wang, Wen-June Wang, “A Study on
                       Balance Control for a Humanoid Robot”.
              FC-104 Syafiq Fauzi Kamarulzaman, Takeshi Shibuya, Seiji Yasunobu, “A learning-
                       based control system by knowledge acquisition within constrained

              Room 3           : Fuzzy Decision Making (1)
              Session Chair : Mostafa Shirinfar, Isfahan University of Technology
              FD-101 Mostafa Shirinfar, Mansoure Moadi, Hassan Haleh, “Supplier selection and
                        evaluation By fuzzy Multi-criteria decision making”.
              FD-102 Naimeh Borjalilu, Mahdi Zowghi, Abdolhamid Eshraghniaye Jahromi, ”A
                        fuzzy hypothesis test based model for customer satisfaction
                        measurement(Case study in PARS KHODRO CO.)”.
              FD-103 Pei-Chi Chen, Gwo-Hshiung Tzeng, “Evaluating e-Commerce Solution
                        Alternatives in IT Portfolio Investment”.
              FD-104 Shunichi Hattori, Yasufumi Takama, “Investigation about Relation between
                        Preference and Personal Values for Recommender System”.

              Room 4          : Computational Intelligence (1)
              Session Chair : Hajime Nobuhara, University of Tsukuba
              CI-101 Nur Hasanah, Kazuhito Sawase, Hajime Nobuhara, “Mining Rules for
                        Diagnosis of Dengue Hemorrhagic Fever using Neural Networks and Formal
                        Concept Analysis”.
              CI-102 Naotsugu Yoshinaga, Akira Shinozaki, Hajime Nobuhara, “Formal Concept
                        Analysis Based Information Retrieval Support System with Keyword
                        Extraction using Web Links and Word Co-occurrence”.
              CI-103 Vladimir Akopov, Vasiliy Sinuk, “Peak genetic algorithm”.
              CI-104 Mohammad Hossein Fadel Zarandi, Milad Avazbeigi, I. Burhan Turksen,
                        “Technical-Analysis Expert System Development for Tehran Stock Ex-Change
                        Using Decision Trees And Neural Networks”.
    Parallel Session
Tuesday, 21 June 2011
15.30-17.30   Parallel Session III
              Room 1            : Organized Session Startup Research for Young Scientists (2)
               Session Chair : Pitoyo Hartono, Chukyo University
               OY-201 Momoi Shinji, Miyoshi Tsutomu, “Improvement method for visual stavility
                         of SOM's feature map by initial value assignment”.
               OY-202 Hanif Rasyidi, M. Rahmat Widyanto, “Tooth Segmentation on Dental
                         Radiograph Image Using Fuzzy Local Threshold and Global Adaptive
               OY-203 Lestari Handayani, M. R. Widyanto, Ria Kodariah, Putu W. Handayani,
                         “Fuzzy Cells Extraction for The Antigen Determination of
                         Immunohistochemistry Image”.

              Room 2          : Fuzzy Control (2)
              Session Chair : Hiroaki Inokuchi, Kansai University
              FC-201 Hendro Nurhadi, Syamsu Alam Ahmady, ”Novel Development of Intelligent
                        Control System using Adaptive Fuzzy Method for Inverted Pendulum”.
              FC-202 Hiroaki Inokuchi, Takamasa Akiyama, “Evaluation of Carbon Dioxide
                        Emission Estimate Method of the Hybrid Car”.
              FC-203 Indra Adji Sulistijono, Son Kuswadi, One Setiaji, Naoyuki Kubota, “Fuzzy
                        Control of Vision System for Humanoid Soccer Robot EFuRIO”.
              FC-204 Endah Suryawati Ningrum, Andri Setyawan, “Prototype of Cooperative
                        Mobile Robots With Trilateration Localization Method”.

              Room 3           : Fuzzy Decision Making (2)
              Session Chair : Chih-Min Lin, Yuan Ze University
              FD-201 Chih-Min Lin, Hsin-Yi Li, “Wavelet Fuzzy Cerebellar Model Articulation
                        Controller Design for Nonlinear Chaotic Systems”.
              FD-202 Dieter Roller, Erik Engesser, “Application of Fuzzy Decision Making for
                        Innovative Production Planning, Control and Supply Chain”.
              FD-203 Anna Wilbik, Janusz Kacprzyk, “Generation of linguistic data summaries of
                        time series against multiple criteria”.
              FD-204 Bahram Sadeghpour Gildeh, Samaneh Asghari , “Supplier Selection Based on
                        Fuzzy Inertial Capability Index”.

              Room 4           : Real-World Applications (1)
              Session Chair : Marimin, Bogor Agricultural University
              RW-101 Yoichi Yamazaki, Yasutaka Yoshida, Makoto Motoki, Takuya Hoshimoto,
                        Yutaka Hatakeyama, Fangyan Dong, Kaoru Hirota, ”Qualitative Expression
                        using AHOGE for Smart Meter and Appliarances in Home Energy
                        Management System”.
              RW-102 Suharjito, Machfud, Sukardi, Bambang Haryanto, Marimin, “Balancing the
                        Risks of Agri-Supply Chain Using Fuzzy Utility Regression Approach”.
              RW-103 Maryam Nasiri, Eyke Hullermeier, Robin Senge, Edwin Lughofer,
                        “Comparing Methods for Knowledge-Driven and Data-Driven Fuzzy
                        Modeling: A Case Study in Textile Industry”.
              RW-104 Masaaki Kanakubo, “Generation of Japanese punning riddles using a
                        general concept dictionary”.
    Parallel Session
Wednesday, 22 June 2011
10.15-12.15   Parallel Session IV
              Room 1            : Fuzzy Sets
               Session Chair : Jiri Mockor, Ostrava University
               FS-001 Babak Rezaee, “The Similarity Measure between Interval Type-2 Fuzzy Sets
                         based on the Intersection of their FOUs”.
               FS-002 Jiri Mockor, “Fuzzy sets and cut systems in a category of sets with similarity
               FS-003 Jalal Chachi, S. Mahmoud Taheri, “Fuzzy statistical tests based on fuzzy
                         confidence intervals”.
               FS-004 Ernesto Araujo, “Data-Driven Uncertainty Quantification for Type-2 Fuzzy

              Room 2           : Fuzzy Numbers
              Session Chair : Christen Carlsson, Abo Akademi University
              FN-001 Christer Carlsson, Robert Fuller, Jozsef Mezei, “A Quantitative Approach to
                        Quasi Fuzzy Numbers”.
              FN-002 Gizem Karakan, Ronay Ak, Ozgur Utkan Eris, “Fuzzy Present Worth Analysis
                        Using LR Fuzzy Numbers”.
              FN-003 Sayed Ali Reza Hosseini Dehmiry, Mohammad Ali Yaghoobi, “On Resolution
                        Identity and Representation Theorem of Hesitant l-Fuzzy Sets”.

              Room 3           : Fuzzy Inference
              Session Chair : Hirosato Seki, Osaka Institute of Technology
              FI-001    Mohammad Hossein Fadel Zarandi, Milad Avazbeigi, I. Burhan Turksen,
                        “Credit Scoring Models Based on ANFIS and Neural Networks”.
              FI-002    Ahmad Nadhir, Agus Naba, Takashi Hiyama, “Fuzzy Logic Rules Based on
                        Maximum Power Point Tracking for Variable Speed Wind Energy Conversion
              FI-003    Mohammad Hassan Tarazkar, Abdoulkarim Esmaeili, “A Neuro-Fuzzy Model
                        for Prediction of Agricultural commodity Price: The Case of Corn Price in
              FI-004    Hirosato Seki, Masaharu Mizumoto, “Fuzzy Singleton-Type SIRMs Connected
                        Fuzzy Inference Method: Property and Application to a Medical Diagnosis”.

              Room 4          : Fuzzy Space & Optimization
              Session Chair : Laszlo Koczy, Szechenyi Istvan University
              FO-001 Shaban Sedghi, “Some Fixed point Theorems in Fuzzy metric Spaces”.
              FO-002 Nabiollah Shobkolaei, “Some Results for Mappings in Convex Fuzzy Banach
              FO-003 J. Chamorro-Martinez, J. M. Soto-Hidalgo, D. Sanchez, P. Martinez-Jimenez,
                        “An Approach for Fuzzy Dominant Color Descriptor”.
              FO-004 Krisztian Balazs, Mark Farkas, Laszlo T. Koczy, “Proposal on Formalizing
                        Uncertain Business Criteria as Fuzzy Constraints in Multi-Objective CSP
    Parallel Session
             Room 5           : Social Applications
             Session Chair : Yury Chernyshov, Moscow State University of Forest
             SA-001 Liana Kaznovskaya, Yury Chernyshov,“Application of functions with fuzzy
                       parameters in marketing and management”.
             SA-002 Aurelio Fernandez Bariviera, Laura Lanzarini, Juan Martin Iglesias Caride,
                       “Are Technical Trading Rules Useful to Beat the Market? Evidence from the
                       Brazilian Stock Market”.
             SA-003 Ernesto Araujo, “Fuzzy Social Network Modeling of Micareta”.

Wednesday, 22 June 2011
13.15-15.15 Parallel Session V
             Room 1           : Organized Session-4: Hybrid Intelligent Systems (1)
             Session Chair : Oscar Castillo, Tijuana Institute of Technology
             OS-411 Kodai Takashima, Takehisa Onisawa, “Scene Frame Generation for Manga
                        Drawing Based on Summarization of Narrative Text”.
             OS-412 Victor Romero, Juan R. Castro, Oscar Castillo, “User Behavior Model
                        Approach for Recommender Systems”.
             OS-413 Leticia Cervantes, Oscar Castillo, “Automatic Design of Fuzzy Systems for
                        Control of Aircraft Dynamic Systems with Genetic Optimization”.
             OS-414 Daniella Sanchez, Patricia Melin, “Optimization of Modular Neural Networks
                        and Type-2 Fuzzy Integrators Using Hierarchical Genetic Algorithms for
                        Human Recognition”.

             Room 2         : Organized Session-3: Fuzzy Algebraic Structure (1)
             Session Chair : Arsham Borumand Saeid, Shahid Bahonar University
             OS-311 N. Thillaigovindan, V. Chinnadurai, “On T -Fuzzy Bi-ideal and Quasi-ideal of
             OS-312 M. M. Zahedi, Kh. Abolpour, “Some Algebraic Operations on General Fuzzy
             OS-313 Kh. Abolpour, M. M. Zahedi, “Accessible and Coaccessible General Fuzzy
             OS-314 Lida Torkzadeh, “Fuzzy Hyper MV-Ideals in Hyper MV-Algebras”.

             Room 3            : Organized Session-2: Fuzzy Functions, Relations, and Fuzzy
                                 Transforms: Applications to Fuzzy Systems (1)
              Session Chair : Irina Perfilieva, University of Ostrava
              OS-211 Irina Perfilieva, Vladik Kreinovich, “Towards a General Description of
                        Translation-Invariant and Translation-Covariant Linear Transformations: A
                        Natural Justification of Fourier Transforms and Fuzzy Transforms”.
              OS-212 Martina Dankova, “Graded fuzzy Rules for Functional Dependencies: Normal
                        Form Based Formalization”.
              OS-213 Martin Stepnicka, “On Mutual Compatibility of Mathematical Properties of
                        Fuzzy Inference Systems”.
    Parallel Session
              Room 4          : Fuzzy Theory (1)
              Session Chair : S. Mahmoud Taheri, Isfahan University of Technology
              FT-101 Ludovic Lietard, Nouredine Tamani, Daniel Rocacher, “Linguistic Quantifiers
                        and Bipolarity”.
              FT-102 Tom Matthe, Guy De Tre, “Weighted Aggregation of Bipolar Satisfaction
              FT-103 Gholamreza Hesamian, S. Mahmoud Taheri, “Non-Parametric Two-Sample
                        Linear Rank Tests for Imprecise Observations”.
              FT-104 Javier Montero, J. Tinguaro Rodriguez, Camilo Franco, Begona Vitoriano,
                        "An Axiomatic Approach to The Notion of Semantic Antagonism”.

              Room 5           : Computational Intelligence (2)
              Session Chair : Yukinobu Hoshino, Kochi University
              CI-201 Kurniawan Eka Pramana, “Generate Membership Function with Hybrid
                        Genetic Particle Swarm Optimization for Job Shop Scheduling Problem”.
              CI-202 Yukinobu Hoshino, Hiroshi Takimoto, “Development of PSO_VC for training
                        the Neural Network for a real line tracing car”.
              CI-203 Radi, Muhammad Rivai, Mauridhi Hery Purnomo, “Multi-Thread
                        Constructive Back Propagation Neural Network for Aromas Pattern

Wednesday, 22 June 2011
15.30-17.30   Parallel Session VI
              Room 1            : Organized Session-4: Hybrid Intelligent Systems (2)
               Session Chair : Oscar Castillo, Tijuana Institute of Technology
               OS-421 Fevrier Valdez, Patricia Melin, Oscar Castillo, “Fuzzy Logic Adaptation of a
                         Hybrid Evolutionary Method and its Comparison with other Optimization
               OS-422 Victor Romero, Mauricio A. Sanchez, Juan R. Castro, Antonio Rodriguez-
                         Diaz, Oscar Castillo, “Hybrid Model for General Knowledge Representation”.
               OS-423 Olivia Mendoza, Patricia Melin, “Sugeno Integral for Edge Detection in
                         Digital Images”.

              Room 2           : Organized Session-3: Fuzzy Algebraic Structure (2)
              Session Chair : Arsham Borumand Saeid, Shahid Bahonar University
              OS-321 Marjan Kuchaki Rafsanjani, Monireh Azimi Hemat, “PFIDS: Parallel Fuzzy
                        Intrusion Detection System using Agent-based Reconfigurable Hardware”.
              OS-322 Arsham Borumand Saeid, “Doubt Fuzzy BF-Algebras”.
              OS-323 A. Rezaei, Arsham Borumand Saeid, “Some Result On Commutative BE–

              Room 3          : Organized Session-2: Fuzzy Functions, Relations, and Fuzzy
                                Transforms: Applications to Fuzzy Systems (2)
              Session Chair : Irina Perfilieva, University of Ostrava
              OS-221 Vilem Novak, Irina Perfilieva, Viktor Pavliska, “The Use of Higher-order F-
                        transform in Time Series Analysis”.
              OS-222 Irina Perfilieva, “Cramer's Rule for Systems of Fuzzy Relation Equations”.
              OS-223 Xue-ping Wang, Yan Mo, “Laplace Theorem in semirings”.
Parallel Session

     Room 4          : Fuzzy Theory (2)
     Session Chair : Janusz Kacprzyk, Polish Academy of Sciences
     FT-201 Omar Salazar Morales, Jose Jairo Soriano Mendez, “Quasi-Standard Fuzzy
               Algebras A Short Mathematical Characterization”.
     FT-202 Carl Frelicot, Romain Quere, “A general Framework for a Class of
               Comparison Indices of Soft Partitions”.
     FT-203 Mashaallah Mashinchi, Ghader Khaledi, “On Some Algebraic Properties of
               Fuzzy Co-Xor-Connectives”.
     FT-204 Janusz Kacprzyk, Slawomir Zadrozny, “From a Static to Dynamic Analysis of
               Weblogs via Linguistic Summaries”.

     Room 5          : Real-World Applications (2)
     Session Chair : Takeshi Furuhashi, Nagoya University
     RW-201 Mehdi Rohaninezhad, Saeid Abbasbandy, Nazlia Omar, “Ontological
               approach for developing computing with words based systems”.
     RW-202 F. J. Cabrerizo, M. A. Martinez, J. Lopez-Gijon, B. Esteban, E.Herrera-
               Viedma, “A New Quality Evaluation Model Generating Recommendations to
               Improve the Digital Services Provided by the Academic Digital Libraries”.
     RW-203 Saeedeh Pourahmad, S. Mahmoud Taheri, Seyyed Mohammad Taghi
               Ayatollahi, “Least Squares Fuzzy Logistic Regression, A New Model in Clinical
     RW-204 Takeshi Furuhashi, Hiromu Takahashi, Yusuke Kaneda, Tomohiro Yoshikawa,
               “Automatic Repeat reQuest for Brain-Computer Interfaces -Reliability-based
               Automatic Repeat reQuest and Selective Repeat Variant-“.
    Round Table Discussion
Thursday, 23 June 2011
         -13.00 Arrival at Bali Ngurah Rai Airport (Denpasar)
    13.00-16.00 Round Table Discussion on Soft Computing Trends in Each Country at STIKOM Bali,
                Includes Lunch, and Balinese Dance Performance
                   (Luggages will be transferred to the accommodation directly, and participants'
                   check in will be done later after the first day program ends)
    16.00-      Hotel Check In and Light Dinner

Friday, 24 June 2011
     9.00-12.00   Visit to Traditional Village of Ubud
    12.00-13.30   Luncheon Discussion on Soft Computing Application at Bebek Bengil Restaurant
    13.30-17.00   Visit to Garuda Wisnu Kencana (GWK)
    17.00-20.00   Visit to Uluwatu Temple
    20.00-22.00   Evening Discussion on Soft Computing and Computational Intelligence with Dinner
                  at Jimbaran
    22.00-        Back to Hotel

Saturday, 25 June 2011
    09.00-11.00 Round Table Discussion on Future Direction of Soft Computing and Fuzzy and/or
                Optional Tour (Shopping, Spa, Water Sport, or Others) is available for
                   (Optional Tour are at your own cost. Committee will only prepare for the
    11.00-13.00 Hotel Check Out
                   (Luggages can be left and remain at the hotel while you do your lunch)
    13.00-15.00 Lunch By Your Own
    15.00-      Transfer to Bali Ngurah Rai Airport (Denpasar)
                   (Transfer will be done in groups, depending on participants' departure time,
                   but not before 15:00 (transfer and check in will need +/- 3 hours))
   Keynote Speech                      I

Prof. Andrzej Bargiela
School of Computer Science, University of Nottingham, UK

Title: Balancing Interpretability and Representativeness of Information Granules in Fuzzy

Abstract: The Min/Max classification and clustering has a distinct advantage of generating easily
interpretable information granules - represented as hyperboxes in the multi-dimensional feature
space of the data. However, while such an information abstraction lends itself to easy interpretation
it leaves open the question whether the granules represent well the original data. This talk focuses
on an approach to optimised information abstraction, which retains the advantages of Min/Max
clustering while providing a basis for building a more representative set of granules. In particular we
discuss our new extension of the information density based granulation by including an extra stage
of optimised refinement of granular prototypes. The initial granulation is accomplished by creating
hyperboxes in the pattern space through the maximisation of the count of data items per unit
volume of hyperboxes. The granulation is totally data driven in that it does not make any
assumptions about the number or the maximum size of hyperboxes. Subsequent optimisation
involves identification of granular prototypes and their refinement so as to achieve full
reconstruction of the original data from the prototypes and the corresponding partition matrix.

Biography: Prof. Bargiela is a member of the ASAP research group in the School of Computer Science
at the University of Nottingham, UK. His main research focus is on Soft Computing and involves the
investigation of uncertainty and information abstraction in the context of modeling and simulation
of various physical and engineering systems. His recent research into Granular Computing as a
human-centred information processing resulted in the development of a set-theoretical framework
for information granulation that avoids paradoxes associated with multi-abstraction information
processing. Current research involves investigation of formalisms of sets, fuzzy sets, rough sets and
the assessment of the formal expressive power of multiresolution computations as well as the
biologically-inspired information abstraction. Professor Bargiela served as Director of the School of
Computer Science at the Malaysia Campus of the University of Nottingham from 2007 to 2010. He
was Professor at the Nottingham Trent University (1996- 2007), Visiting Professor at Tokyo Institute
of Technology (2005), Helsinki University of Technology (2004), University of Bari (2003) and
University of Alberta (2000-2007), Special Visiting Research Fellow at Konan University (2004-2008)
and was appointed Titular Chair by the President of Poland in 2005. He is currently President of the
European Council for Modeling and Simulation and serves as Associate Editor of the IEEE
Transactions on Systems Man and Cybernetics and Associate Editor of the Information Sciences.
    Keynote Speech                      2

Assoc. Prof. Rudy Setiono
School of Computing, National University of Singapore
Title: Finding Minimal Neural Networks for Business Intelligence Applications

Abstract: While feedforward neural networks have been widely accepted as useful tools for solving
classification problems, the issue of finding the best network architecture remains unresolved. We
address this issue in the context of credit card screening and other business intelligence applications.
We show that minimal neural networks with as few as one hidden neuron provide good predictive
accuracy. Network connections from the input neurons to this hidden neuron are removed by a
magnitude-based pruning approach. As the pruned networks contain very few connections, it is
rather straightforward to generate concise and comprehensible classification rules for the user. For
effective business intelligence applications, having comprehensible rules generated from the neural
network classifiers would certainly add value to the decision making process. In terms of predictive
accuracy, the minimal neural networks as well as the rule sets generated from them compare
favorably with other neural network based classifiers and various methods for classification.

Biography: Dr. Rudy Setiono received his Bachelor of Science degree in Computer Science from
Eastern Michigan University, M.Sc and Ph.D. degrees in Computer Science from the University of
Wisconsin-Madison in 1984, 1986, 1990, respectively. He has been with NUS since 1990 and he is
currently Associate Professor. He served as Vice Dean (Undergraduate Affairs) from November 2001
to July 2005 at the School of Computing. His research interests include linear programming,
nonlinear optimization, and neural networks. He is a Senior Member of IEEE and was an Associate
Editor of IEEE Transactions on Neural Networks from 2000 to 2005.
Site Map
Site Map
   Hybrid Fuzzy Systems                                                             Parallel Session 1
 Room 1                                 HF-001             Room 1                                            HF-003
 Application of Fuzzy Neural Network Model to                       Fuzzy Hidden Markov Models
Evaluate Habitat Preference of Japanese Medaka                   For Indonesian Speech Classification
                (Oryzias Latipes)
                                                             *Intan Nurma Yulita, The Houw Liong, Adiwijaya
      *Shinji Fukuda (Kyushu University, Japan)                 (Telkom Institute of Technology, Indonesia)
The present study aims to apply a fuzzy neural network
(FNN) model with weight decay back-propagation to         Indonesia has a lot of tribe, so that there are a lot of
evaluate the habitat preference of the Japanese           dialects. Speech classification is difficult if the database
medaka (Oryzias latipes). Three independent data sets     uses speech signals from various people who have
were prepared from a series of field surveys in Japan.    different characteristics because of gender and dialect.
The FNN model was trained using 20 different initial      The different characteristics will influence frequency,
                                                          intonation, amplitude, and period of the speech. It
conditions. As a result, the weight decay reduced the
                                                          makes the system must be trained for the various
variance of the model structures with a small
                                                          templates reference of speech signal. Therefore, this
deterioration of the model accuracy. The results          study has been developed for Indonesian speech
support the applicability of the FNN model in terms of    classification. This study designs the solution of the
model accuracy, and the ability to evaluate the habitat   different characteristics for Indonesian speech
preference of the target species.                         classification. The solution combines Fuzzy on Hidden
                                                          Markov Models. The new design of fuzzy Hidden
 Room 1                              HF-002               Markov Models will be proposed in this study. The
 Fuzzy Ant Colony Based On Generic Model For              models will consist of Fuzzy C-Means Clustering
   Supply Chain Performance Measurement                   which will be designed to substitute the vector
                                                          quantization process and a new forward and backward
    *Taufik Djatna (Bogor Agricultural University,        method to handle the membership degree of data. The
          Indonesia),              result shows FHMM is better than HMM and the
                                                          improvement was 3.33 %.
Ditdit N. Utama (Islamic University Syarif Hidayatullah
       Jakarta, Indonesia),
                                                           Room 1                                  HF-004
Fuzzy Ant Colony Algorithm is one of hybrid                 Facial Tracking using PTZ Camera with MIMO
methodology which combines searching, routing and             Adaptive Neuro-Fuzzy Inference System
optimizing problem with linguistic capability. Our work
is a version of ant colony algorithm that solve the       *Setiawardhana, Sigit Wasista (Electronic Engineering
searching, routing and optimizing problems by using        Polytechnic Institute of Surabaya (EEPIS), Indonesia)
uncertain information and imprecise data. Previous   ,
researchers have developed fuzzy-ant colony               Djoko Purwanto (Institut Teknologi Sepuluh Nopember
algorithms not only for technical cases, but also for                  (ITS), Surabaya – Indonesia)
supply chain aspect. We show our approach in fuzzy
ant colony algorithm can be used in solving problem in    This research aims to create applications using face
the routing and optimizing supply chain path case,        detection and tracking using Pan-Tilt-Zoom or PTZ
particularly for the best path searching problems. In     camera. Face detection is done by Viola-Jones and
this paper, the authors propose a generic model based     Continuously Adaptive Mean-Shift method. PTZ
on fuzzy ant colony algorithm that was implemented in     camera can follow the position of facial movement and
supply chain path search and performance                  maintain the width of the face at a certain size limit
measurement        purpose.   We      compared      the   using Multi Input Multi Output Adaptive Neuro-Fuzzy
performance of our approach and evaluate these            Inference System method with addition of adaptive
generic and hybrid methods.                               adjustment for control the motor of PTZ camera. The
                                                          system can detect faces automatically and follow the
                                                          movement of the face to be smooth and real-time. The
                                                          system detects and follow only one face that closest to
                                                          the camera. The results of this research is the PTZ
                                                          camera to follow movement of the face and maintain
                                                          the size of the face at a certain size limit reasonably
                                                          smooth and well with steady state error less than 10%
                                                          and settling time 2 to 9 seconds.
   Fuzzy Prediction                                                                  Parallel Session 1
 Room 2                                  FP-001              Room 2                                     FP-003
 Improved realistic fuzzy time series method to              Machinery Fault Identification Using Blind Sound
    predict Gross domestic capitol of India                          Separation and Fuzzy System

 Dr Mrinalini Shah (Postdoctoral fellow-University of        *Bagus T. Atmaja, Dhany Arifianto (Sepuluh Nopember
      Warsaw, Poland; Professor & Chairperson                         Institute of Technology, Indonesia),
   Entrepreneurship Cell, Institute of Management       ,
            Technology,Ghaziabad, India)
                                                             Early and accurate fault detection on the machine is
The proposed method is an extension of author’s              crucial in a preventive maintenance in order to prevent
earlier work (Shah, 2007). The novelty of the method is      accidents that may be catastrophe to the production
its capability to identify the trends as slightly            sustainability as well as the company. In this paper, we
increasing, increasing, moderate, slightly decreasing or     propose a novel technique for remote condition
decreasing and inclusion of subjective expert’s opinion      monitoring by analyzing sound emitted from the
in case of missing data. The method can identify the         machines. We used normal, unbalanced, bearing fault
points of transition as: increasing or decreasing, which     machines worked simultaneously recorded in anechoic
is most important. Since any of the forecasting method       chamber to simulate the real plant situation. We
can only foresee the change not control it. This             assumed that the sounds mixed convolutively at which
identification of transition point of time series gives an   required microphone array as sensor as an interface
added advantage to decision makers about being               before separation. Using time-, frequency-domain, and
conscious before taking any decision for immediate           combined techniques the sound mixtures were
future. The method insists on inclusion of subjective        successfully separated. Fuzzy inference system was
expert’s opinion in any case of transition instead of        then applied to classify the fault type based on the
relying on machine only. The method is tested on real        frequency estimates. The results suggest that the
life data (Gross domestic capitol of India) and gives a      proposed technique performed accurately in mean-
better result compare to earlier method.                     square-error (MSE) sense. This implies that the
                                                             proposed technique may be suitable for further
 Room 2                                 FP-002               implementation in real plant setting to replace current
   Granular Time Series and Fuzzy Tendencies                 technique using direct measurement.

   *Nadezhda Yarushkina, Tatjana Afanaseva, Anton
     Romanov (Ulyanovsk State Tech Unuversity),,
        Irina Perfilieva (University of Ostrava)

The aim of this contribution is to show that the
integration of two soft computing techniques: the F-
transform and the Fuzzy tendency processing of
granular time series can be successfully used in
analysis and forecast of short time series encountered
in financial analysis of a small enterprise. In this
contribution, we briefly remind the backgrounds of the
F-transform technique and propose a formal model of
a fuzzy tendency of a time series. Both approaches are
then competitively used in the time series forecast. In
the application part, we present a description of a new
software system that has been elaborated on the basis
of the proposed theory. Besides the F-transform, it
includes analysis of time series and their tendencies in
linguistic terms, time series processing.
   Intelligent Transportation                                                       Parallel Session 1
                                                           inference system is applied to recognized the
 Room 3                                IT-001              landmark. With the proposed landmarks and the
  Car–Following Model with Fuzzy Reasoning                 recognition system, the navigation algorithms could be
   Approach for Microscopic Network Traffic                developed easily not only in one indoor environment
                 Simulation                                but also in different indoor environments, without the
                                                           need to change the navigation algorithm.
     *Takamasa Akiyama (Kansai University),
                           Room 3                                    IT-003
  Masashi Okushima (The University of Tokushima)           An Intelligent Driving Assistant System Based on                                Evaluation of Operations
 Madhu Errampalli (Central Traffic Research Institute)
                                  *Seiji Yasunobu, Fan Zhang (University of Tsukuba)
In microscopic traffic simulation, car-following
phenomenon is regarded as vital in representing
individual vehicle behaviour. Many car-following
                                                           In this paper, we constructed an intelligent assistant
models have not considered uncertainties and
                                                           system and verified if it is effective in cooperating with
perceptions along with other related parameters to
                                                           human, via an experiment using a 4-wheel electric
describe human behaviour on urban road network. In
                                                           wheelchair with handle. An electric wheelchair is
the study, these     uncertainties and perceptions have
                                                           widely used by old people for moving, but traffic
been appropriately considered to represent realistic
                                                           accident of electric wheelchair is increasing. A driving
car-following behaviour. Firstly, the fuzzy logic based
                                                           assistant system is needed to help the old people
car-following model for microscopic traffic simulation
                                                           driving safely. An assistant system is a human-machine
on urban network is proposed in the study. Secondly,
                                                           cooperative system. Many methods have been
the distinct features of car-following behaviour on
                                                           developed for design such a system, but the traditional
urban network are conceptually verified with the
                                                           computer control method only has a single instruction
proposed model. Thirdly, the comparison between
                                                           output. We proposed a new variable impedance model
estimated and observed data on the urban network of
                                                           which’s output is not a single command but multiply
the local city indicated that fuzzy reasoning approach
                                                           with satisfaction rate.
has produced realistic driver behaviour. Finally, it can
be concluded that the fuzzy logic is most appropriate
technique to describe car-following behaviour for
microscopic simulation on urban road network.

 Room 3                                 IT-002
  Identifiable Landmark Recognition based on
 Fuzzy Inference System for Automatic Vehicle

  *Angga Rusdinar, Gyeongdong Baek, Sungshin Kim
         (Pusan National University, Korea),,,

This paper presents the identifiable landmarks
recognition system based on Fuzzy Inference System
for Indoor autonomous vehicle. The landmark is a
group of circles that produce two information,
direction and identity. This landmark is put on ceiling
and a single digital camera with tilt system is mounted
on autonomous vehicle to recognize and convert the
image into direction and identity information, the tilt
system is used to change the camera angle for
searching the other landmarks and tracking the
autonomous vehicle pose when the autonomous
vehicle move toward the landmark, and fuzzy
OS-5: Soft Computing and Disaster Control                                           Parallel Session 1
 Room 4                                 OS-501             Room 4                                 OS-502
Efficient Prediction of Earthquake Damage based            Ethnic Inference in DNA Profile Matching with
       on Wireless Personal Area Networks                  Fuzzy Logic System using Discrete Membership
     * Seiji Yasunobu, Sadaaki Miyamoto, Takehisa
Onisawa, Gaku Shoji, Yasunori Endo, Hajime Nobuhara,            Reggio Nurtanio H., M. Rahmat Widyanto,
     Takeshi Shibuya, Kodai Takashima, Rui Wang,               Nurtami Soedarsono (University Indonesia),
 Naotsugu Yoshinaga, Hasanah Nur, Masanori Kimura,            
Syafiq Kamarulzaman, Kazuki Kuribayashi (University of       Hajime Nobuhara (University of Tsukuba, Japan)
        {yasunobu, nobuhara}            This paper shows a way to do probabilistic inference by
                                                          using simple Fuzzy Logic System (FLS), particularly
Japan and Indonesia are the earthquake occurrence         ethnic relationship between DNA profiles within the
countries where located in the circum-Pacific volcanic    matching algorithm as an improvement of a previously
zone. Research on disaster recovery management has        published research. By using the allele’s distribution
been an important issue for both countries. Our           discrete probability density function as the
research proposes a Disaster Recovery Management          membership function in the FLS, the new technique
system based on the proposed low cost short-distance      makes it possible to tell the ethnic similarity between
wireless (ZigBee) communication network and mobile        two DNA profiles in a simple way and with a better
phones. If every person in the disaster area is           result compared to continuous Gaussian membership
connected to this network, then the information of the    function. A dataset acquired from ethnic groups of
position, injured person, died person, and lost person    Indonesia is used to test the technique and produced
can be identified quickly. The information is processed   promising result, being able to indicate higher ethnic
using our soft computing method to generate a             similarity score within an ethnic group and lower
comprehensive recovery and mitigation plan. Then, the     similarity between ethnic groups. However, further
government and the rescue team can use this recovery      research is needed to further improve the model and
and mitigation plan for disaster management. This can     warrant the correctness and accuracy and to
shorten time in the disaster management process           generalize the formulation to be implemented in real
therefore the number of victims can be reduced. This      world.
research project has been accepted as JSPS-DGHE co-
project and the SocDic2011 (Soft Computing and
Disaster Control 2011) of our kick-off meeting has been
held in 2011.06.20. This paper corresponds to the total
report of SocDic2011.
OS: Startup Research for Young Scientists (1)                                        Parallel Session 2
                                                           aims to assist forensic experts identifying victims of
 Room 1                                  OY-101            disasters such as bombing and earthquake.
 Parameter Optimization of Local Fuzzy Patterns
 for Extracting White Blood Cell Texture Feature            Room 1                                        OY-103
                                                            An Estimation Model of English Abilities of Students
  *Chastine Fatichah (Tokyo Institute of Technology,       Based on Their Affective Factors in Learning by Neural
   Institut Teknologi Sepuluh Nopember-Indonesia)                                 Network
   Martin L. TANGEL (Tokyo Institute of Technology,             *Fitra A. Bachtiar, Katsuari Kamei, Eric Cooper
          Japan), martin@             (Ritsumeikan University),,
   M. Rahmat WIDYANTO (University of Indonesia),   ,
                                                           The gap between teaching perspectives and students’
  Fangyan DONG, Kaoru HIROTA (Tokyo Institute of
                                                           differences may impact negatively on teaching and
    Technology), {tou, hirota}@
                                                           learning effectiveness. A new approach to bridge such
To improve the accuracy, parameter optimization of         a gap needs establishing. Artificial Neural Network as a
local fuzzy patterns for extracting white blood cell       tool capable of approximating solutions for extremely
texture feature is proposed. The proposed method           complex problems encourages us to develop an
obtains the optimal parameter values of a nucleus and      estimation model of students’ English ability. The
a cytoplasm region of white blood cell image according     model was trained using back propagation algorithm
to search iteratively based on fuzzy contrast measure      and tested using 154 samples from two universities.
of nucleus and cytoplasm regions. The proposed             The model estimation rate on students’ English
method is evaluated using supervised classification of     abilities demonstrated a high level of estimation by
microscopic white blood cell samples images. The           91.96%, 94.19%, 93.73%,and 91.96% for Listening,
results show that the average accuracy rate of the local   Reading, Speaking, and Reading, respectively.
fuzzy pattern features with the optimal parameter
values of a nucleus and a cytoplasm region is 4% more
accurate than the uniform parameter values and is 4%-
18% more accurate than other methods. The proposed
method is a part of white blood cell classification;
therefore it can be applied for automatic white blood
cell differential counting system.

Room 1                                  OY-102
Multiscale Image Analysis for Dental Radiograph

*Martin L. Tangel, Chastine Fatichah (Tokyo Institute of
 Technology) , {martin, chastine}
      M. R. Widyanto (University of Indonesia),
   Fangyan Dong, Kaoru Hirota (Tokyo Institute of
    Technology), {tou, hirota}

Multiscale image analysis for dental radiograph
segmentation is proposed to perform image
segmentation using fuzzy inference system on various
scaled down radiographs. Due to its capability to deal
with inconsistent contrast, uneven exposure, and
pixel’s noise of the radiograph, the information of
teeth shape is obtained more accurately. An
experiment is done using 122 dental radiographs from
University of Indonesia and yields 77.7% accuracy by
comparing with manual segmentation results. An
accurate teeth shape extraction is the most critical
factor for a dental-based identification system that
    Fuzzy Control (1)                                                              Parallel Session 2
 Room 2                                FC-101               Room 2                                FC-103
     Fuzzy Model Power Curve Based Linear                    A Study on Balance Control for a Humanoid
Controller for Maximum Wind Energy Extraction                                  Robot
   in Variable Speed Wind Energy Conversion
                    System                                    Hsin-Yu Liu, Che-Han Chang, Rong-Jyue (National
                                                                 Formosa University),
    *Agus Naba (Univ. of Brawijaya, Indonesia),                 Wang and Wen-June Wang (National Central
Ahmad Nadhir, Takashi Hiyama (Kumamoto University,
     Japan),,               This paper proposes a study on real-time balance
                       control for a humanoid robot. We study the robustness
                                                           of the humanoid robot with fuzzy balance control in
A simple but effective approach for maximizing             the condition of the external force pushing or standing
extraction of wind energy in variable speed wind           on the slope platform. The adopted humanoid robot is
energy conversion system is presented. The approach        constructed by 22 motors and it has three degrees of
models a power curve of the wind energy conversion         freedoms (DoF) in the waist. To maintain the standing
system by using a fuzzy model. After well trained, the     balance of the humanoid robot, the force sensor
fuzzy model is used to generate maximum estimated          module is used to measure the stability performance
power points from which a linear wind speed feedback       and the fuzzy controller is applied to adjust the waist
controller capable of producing optimum generator          and ankle angles of the robot to conquer the bad
speed can be obtained. Applied to a squirrel-cage          environment (a slope platform or unknown external
induction generator based wind energy conversion           forces). The experiment results demonstrate that the
system, the linear wind speed feedback controller          waist-ankle fuzzy controller is efficient for the
could maximize extraction of the wind energy, verified     humanoid robot to resist unknown external forces and
by the power coefficient remaining to stay at its          slope platform, respectively.
maximum almost all the time and the actual power line
close to the maximum power line reference.                 Room 2                                  FC-104
                                                           A Learning-Based Control System by Knowledge
 Room 2                                  FC-102              Acquisition within Constrained Environment
          Direct Adaptive Fuzzy Control
For A Class of Under-actuated Uncertain Systems                *Syafiq Fauzi Kamarulzaman, Takeshi Shibuya,
                                                                  Seiji Yasunobu (University of Tsukuba),
  Yao-Chu Hsueh, Shun-Feng Su (National Taiwan             ,
University of Science and Technology, Taipei, Taiwan)           ,
The direct adaptive fuzzy control is investigated in the
                                                           Knowledge acquisition is important in order to build a
paper for a class of under-actuated uncertain systems
                                                           knowledge based system. One of the methods used in
which can be regarded as a combination of several
                                                           acquiring knowledge is reinforcement learning.
subsystems with one same control input. By using the
                                                           Reinforcement learning is commonly defined as a try
hierarchical sliding control approach, a sliding control
                                                           and error style learning that occurred in episodes. This
law is derived so as to make every subsystem stabilized
                                                           is difficult to ensure a real control object safety
at the same time. But, since the system considered is
                                                           condition since a control object is restricted to its
assumed to be uncertain, the sliding control law
                                                           environmental constraints. Therefore, a control system
cannot be readily facilitated. Therefore, in this study,
                                                           which can acquire knowledge within constrained
the direct adaptive fuzzy control methodology based
                                                           environment, and use it to achieve a control objective
on Lyapunov stable theory is employed to approximate
                                                           in continuous time is proposed. This control system is
the uncertain part of the sliding control law.
                                                           applied on an inverted pendulum control system and
Simulations are conducted and the results indeed
                                                           its effectiveness is confirmed through a series of
show the effectiveness of the proposed design.
   Fuzzy Decision Making (1)                                                         Parallel Session 2
                                                            questionnaires related to the L90 auto customers of
 Room 3                                  FD-101             PARS KHODRO CO. in 5 fields. Customers’ satisfaction
Supplier Selection and Evaluation by Fuzzy Multi-           of L90 auto in above fields attains among 81
     Criteria Decision Making Methodology                   hypotheses and concludes the following result:
                                                            “product quality is good, financial problems is good,
 *Mostafa Shirinfar, Mansoure Moadi, Hassan Haleh           Total quality of services is good and Guarantee is
       (Isfahan University of Technology, Iran),            medium then customer satisfaction is good‘‘. Finally,,,           future research directions are provided.
                                                            Room 3                                 FD-103
In this study, an outsourcer evaluation and
                                                            Evaluating e-Commerce Solution Alternatives in
management system is developed for a manufacturing
company by use of Fuzzy goal programming (FGP). A
                                                                IT Portfolio Investment An Fuzzy MCDM
first phase of the methodology evaluation criteria for                          Approach
outsources and the objectives of the company are
                                                              * Pei-Chi Chen, Ching-Chin Chern (National Taiwan
determined. Considering the fuzziness in the decision
data, linguistic variables that can be expressed in
generalized fuzzy number are used. The propose
                                                            Gwo-Hshiung Tzeng (Kainan University, National Chiao
approach is utilized from fuzzy sets, Analytic Network
                                                                               Tung University),
Process (ANP) and Preference Ranking Organization
method for enrichment evaluations (PROMETHEE)
approach. Evaluation criteria for this problem are          Our study examines the group decision-making process
weighted by Fuzzy ANP approach then in the Fuzzy            and proposes a multi-criteria framework for e-
PROMETHEE approach. At the second phase the FGP             commerce solution investment in information
model developed selects the most appropriate                technology (IT) portfolios. First, the evaluation criteria
outsourcers suitable to be strategic partners with the      that fit in the IT evaluation context are constructed.
company and simultaneously allocates the quantities         Second, the Fuzzy Analytic Hierarchy Process (FAHP) is
to be ordered to them. In the end, gives the                employed to determine the weights of decision criteria
computational results.                                      and the benefit score to the company. Third, the Fuzzy
                                                            Multiple Criteria Decision-Making (FMCDM) approach
 Room 3                              FD-102                 is used to synthesize the team decision. Finally, an
   A Fuzzy Hypothesis Test Based Model for                  empirical case of five proposed portal solutions in a car
     Customer Satisfaction Measurement                      manufacturing company is used to exemplify the
      (Case study in PARS KHODRO CO.)                       approach.

    *Naimeh Borjalilu, Mahdi Zowghi, Abdolhamid              Room 3                                 FD-104
Eshraghniaye Jahromi (Sharif University of Technology       Investigation about Relation between Preference
                    Tehran,IRAN)                             and Personal Values for Recommender System,,
                                    *Shunichi HATTORI, Yasufumi TAKAMA (Tokyo
                                                                       Metropolitan University, Japan)
The article proposes a model for customer satisfaction      ,
measuring, which is adapted to use in automobile                 
industries. The proposed methodology evaluates the
satisfaction level of a set of customers in different       A recommender system is a fundamental technique to
aspect of customer focus based on hypothesis values.        find information that is likely to be preferred by users
It permits to evaluate the validity of a                    among vast amounts of information. While existing
service/manufacturing operation from the point of           recommender systems usually employ user preference
view of consumers. The main advantages of this              or attribute of items to make a recommendation,
method are fully consider the qualitative form of           marketing fields have been taking notice to personal
customers‘ judgments through fuzzy theory and               values, be-cause they have significant relation with
evaluate customers' satisfaction in different aspect of     user preference. This paper investigates the
customer focus. This model also allows fully evaluates      applicability of personal values for modeling items and
by analysis of all possible hypothesis cases. In the end,   users. The results of questionnaires show the feasibility
we implement our model in KHODRO CO. in IRAN and            of recommender system based on personal values.
show the results. This research does asking the
opinions of the experts through a number of
   Computational Intelligence (1)                                                  Parallel Session 2
                                                            keyword extraction algorithm using web links and
 Room 4                                CI-101               word co-occurrence is applyed to search@once.
    Mining Rules for Diagnosis of Dengue                    Through the subjective evaluation and sign test with 10
 Hemorrhagic Fever using Neural Networks and                subjects, it is confirmed that search@once provides
          Formal Concept Analysis                           more important clue for web search by using this
                                                            algorithm. search@once provides more important clue
  *Nur Hasanah, Kazuhito Sawase, Hajime Nobuhara            for web search by using this algorithm.
  (University of Tsukuba),,
  ,                    Room 4                                       CI-103
                                      Peak Genetic Algorithm

In this research, a method for extracting diagnostic           *Vladimir Akopov, Vasiliy Sinuk ( Belgorod State
rules of Dengue Hemorrhagic Fever (DHF) using                  Technology University named after V.G.Shuhov)
Artificial Neural Networks (ANN) and Formal Concept       ,
Analysis (FCA) is proposed. The neural network model
was trained using 64 data contains initial symptoms         The article describes existing adaptive genetic
and diagnosis of DHF taken from a hospital in               algorithms used in the optimization problems. Fuzzy
Indonesia. Using the networks, a synthetic dataset that     algorithm based on the statistics and original peak
provide more complete example of DHF cases was              algorithm with hybrid structure which includes niche
constructed, and FCA was used to generate formal            algorithm were proposed. The results of the conducted
concepts from the dataset. Then, data mining                experiment confirm the practical meaning of the
algorithm was applied to the formal concepts for            developed approach
extracting diagnostic rules. Experiment shows that
different level of parameter discretization will affects     Room 4                                 CI-104
the level of details obtained in the rules. For the given    Technical-Analysis Expert System Development
cases, obtained rules successfully represent the DHF        for Tehran Stock Ex-Change Using Decision Trees
diagnosis by 97.5% validity. By confirmation to the                      And Neural Networks
medical expert, it is concluded that the rules were able
to reflect the actual condition of initial diagnosis of              *Mohammad Hossein Fazel Zarandi
DHF.                                                                (Amirkabir University of Technology),
 Room 4                                CI-102               Milad Avazbeigi (European Centre for Soft Computing),
  Formal Concept Analysis Based Information                
    Retrieval Support System with Keyword                    I. Burhan Türksen (TOBB Economy and Technology
     Extraction using Web Links and Word                      University-Turkey, University of Toronto-Canada),
       *Naotsugu Yoshinaga, Akira Shinozaki,
                                                            In this paper a new model is developed for predicting
      Hajime Nobuhara (University of Tsukuba),
                                                            Tehran Stock Market (TSE) price by use of an artificial
                                                            neural network and decision trees. In order to create
                                                            such model, a new hybrid rule extraction method is

                                                            designed. Technical indicators are inputs of the model.
                                                            First, a robust neural network designed and trained
Conventional web search engines provide search
                                                            with the available stock data is applied on technical
results as a list of their titles and summaries. However
                                                            indicators. Then, the neural network’s outputs are
it is difficult for users to find web pages which they
                                                            used as inputs of the decision tree which makes the
need by these systems because search results are too
                                                            final prediction. Many conducted experiments show
much to read. In order to help the users to find web
                                                            how the developed model is capable of making
pages which they need, search@once has been
                                                            acceptable predictions.
proposed in prior work. search@once provides well-
structured outputs as line-diagram by formal concept
analysis. search@once has been confirmed to be
helpful for web search through the experimental
evaluation and some parts including keyword
extraction to be improved. In this paper, a new
 OS: Startup Research for Young Scientists (2)                                         Parallel Session 3
                                                          segmented images, 10 moderate segmented images,
 Room 1                                 OY-201            and 5 bad segmented images. For the better result, the
  Improvement Method for Visual Stability of              proposed method needs to be enhanced with more
 SOM’s Feature Map by Initial Value Assignment            advance image preprocessing method to standardize
                                                          the quality of dental radiograph image.
         *MOMOI Shinji, MIYOSHI Tsutomu
    (Ryukoku University),          Room 1                                   OY-203
                                                                Fuzzy Cells Extraction for the Antigen
The location of the node or the distance between           Determination of Immunohistochemistry Image
nodes on SOM feature map is important factor to
determine feature of individual data. In many                *Lestari Handayani (UIN SUSKA Riau, Indonesia),
applications the judgment is made by a person             
depending on a location on the feature map. In               M. R. Widyanto, Ria Kodariah, Putu W. Handayani
conventional method, initial value of feature map has          (University of Indonesia),
been decided at random, so it can be said that it lacks
visual stability. In this paper, we focused on visual     Immunohistochemical examination is to help
stability of SOM feature map, and we proposed new         determine prognosis and therapy for breast cancer
initialization method with less processing or less        patients requiring immunohistochemical analysis which
analysis of leaning data. By two types of experiments,    is counting the number of positive cell and negative cell
we revealed that, proposed method is visually stable      to obtain the percentage of positive cells in an
than conventional method in the point of feature map      exposure. Errors that often occur due to the character
location, the computational complexity, and the           of the cells in the images vary widely in cell shape, size,
standard deviation of winning node location.              cell type, color image outward appearance, and the
                                                          huddled cell. To overcome these variations proposed
 Room 1                                 OY-202            Fuzzy Cells Extraction Method. This method proposed
Tooth Segmentation on Dental Radiograph Image             uses fuzzy inference system to obtain positive cells and
Using Fuzzy Local Threshold and Global Adaptive           negative cells, and continued with the process of
                   Threshold                              determining the antigen. Experiments conducted on
                                                          immunohistochemistry image data. The results indicate
   *Hanif Rasyidi, M. Rahmat Widyanto (Universitas        that the proposed method is better than the
          Indonesia),,             comparison method. Error of Cell determination in the
                            proposed method is a lot happening on the
                                                          identification of negative cells, where cell lymphocytes
In this paper, a method for tooth segmentation from       or connective tissue and background whose color is
dental radiograph image is proposed. The proposed         close to negative cells. So, it still needs to do further
method uses a fuzzy local threshold and a global          research to increase yield identification of
adaptive threshold to identify tooth area from a dental   negative cells. It also needs to be improved the process
radiograph image. Using both thresholding methods,        to get the full cell shape in immunohistochemistry
the proposed method succeed to eliminate noise pixel      image, used at the stage of antigen determination.
in dental radiograph image. The experiment using 60
data shows that the proposed method obtains 45 good
    Fuzzy Control (2)                                                               Parallel Session 3
 Room 2                                 FC-201             Room 2                                 FC-203
Novel Development of Intelligent Control System             Fuzzy Control of Vision System for Humanoid
   using Adaptive Fuzzy Method for Inverted                             Soccer Robot EFuRIO
                                                             *Indra Adji Sulistijono, Son Kuswadi, One Setiaji,
   *Hendro Nurhadi, Syamsu Alam Ahmady (Institut           Inzar Salfikar (Electronic Eng. Polytechnic Institute of
    Teknologi Sepuluh Nopember-ITS, Indonesia),              Surabaya-EEPIS, Indonesia),
    ,                        Naoyuki Kubota (Tokyo Metropolitan University,

Inverted pendulum is a classical system for controlling   Instability is one of the major defects in humanoid
its stability. This study will discuss how to develop     robots. Recently, various methods on the stability and
control techniques so that the pendulum remains in        reliability of humanoid robots have been actively
upright condition, so called adaptive fuzzy control       studied. We propose a new fuzzy-logic control scheme
method. The result obtained was a system with fuzzy       for vision system that would enable the robot to
controller and feedforward controller more adaptive       search and to kick the ball towards the opponent goal.
with standard deviation for the steady state error for    In this paper, a stabilization algorithm is proposed
0.047rad and settling time of 2.1 seconds compared to     using the balance condition of the robot, which is
the systems that only use the Fuzzy Logic Controller      measured using accelerometer sensors during
with a standard deviation of 0.102rad and settling time   standing, walking, and turning movement are
of 5.3 seconds.                                           estimated from these data. From this information the
                                                          robot selects the proper motion pattern effectively. In
 Room 2                                 FC-202            order to generate the proper reaction under various
    Evaluation of Carbon Dioxide Emissions                the body of robot situations, a fuzzy algorithm is
      Estimation Method for Hybrid Cars                   applied in finding the proper angle of the joint from
                                                          the vision system. The performance of the proposed
       *Hiroaki Inokuchi, Takamasa Akiyama                algorithm is verified by ball searching, walking, turning
   (Kansai University, Japan),,       tap and ball kicking movement experiments on a 18-
                          DOFs humanoid robot, called EFuRIO.

For the reduction of CO2 emissions, it is necessary to     Room 2                                  FC-204
examine environmental countermeasures in the urban         Prototype of Cooperative Mobile Robots with
road system and traffic operation management in                  Trilateration Localization Method
addition    to    environmental     countermeasures
considered during the automotive design. An accurate      *Endah Suryawati Ningrum, Andri Setyawan, Ali Husein
estimation of the environmental impact is essentially         Alasiry (Electronic Eng. Polytechnic Institute of
important to evaluate the effectiveness of                  Surabaya-EEPIS, Indonesia),,
environment     countermeasures.      An     advanced       ,
estimation method of the environmental loading                      
quantity has been developed on the basis of
measurements collected for hybrid cars, which are         In the modern robotic community, many mobile robots
expected to become increasingly popular in the future.    are expected to cooperate with each other on the
                                                          same task, it is often necessary for each robot in the
                                                          swarm to know locations of its neighboring robots. The
                                                          ability robots to quickly and accurately localize their
                                                          neighbor are extremely important for cooperative
                                                          mobile robot. This paper describes a trilateration
                                                          method used for localization and deploy many simpler,
                                                          cheaper and redundant robots to discover
                                                          whereabouts of their neighbors. Our trilateration
                                                          system uses acoustic and RF sensing which allows it to
                                                          accurately detect other robots at a distance of up to
                                                          five feet.
   Fuzzy Decision Making (2)                                                      Parallel Session 3
Room 3                                   FD-201            Room 3                                  FD-203
 Wavelet Fuzzy Cerebellar Model Articulation              Generation of Linguistic Data Summaries of Time
Controller Design for Nonlinear Chaotic Systems                   Series against Multiple Criteria

       Chih-Min Lin and Hsin-Yi Li (Yuan Ze                     Anna Wilbik (Polish Academy of Sciences),
      University,Taiwan, Republic of China),                    ,             Janusz Kacprzyk (Polish Academy of Sciences, WIT–
                                                               Warsaw School of Information Technology),
A wavelet fuzzy cerebellar model articulation control         
(WFCMAC) system is proposed for a class of nonlinear
chaotic systems. This control system is composed of a     We propose a new method for the generation of
wavelet fuzzy cerebellar model articulation controller    linguistic summaries of time series against multiple
(WFCMAC) and a fuzzy compensator. The WFCMAC is           criteria: truth value, degree of imprecision, degree of
the principal tracking controller utilized to mimic an    specificity, degree of fuzziness, degree of covering,
ideal control law; and the parameters of WFCMAC are       degree of focus, degree of appropriateness, measure
on-line tuned by the derived adaptation laws in the       of informativeness, and length of the summary. The
Lyapunov sense. The fuzzy compensator is designed to      linguistic summaries are meant as linguistically
dispel the approximation error between the WFCMAC         quantified propositions dealt with using tools of fuzzy
and the ideal controller, so that the stability of the    logic, notably Zadeh’s calculus of linguistically
system can be guaranteed. Finally, a Gyro chaotic         quantified propositions. First, the set of relevant
system is simulated to demonstrate the effectiveness      summaries is generated taking into account the truth
of the proposed control strategy.                         value and the degree of focus. Then, a new,
                                                          hierarchical method is proposed which consecutively
 Room 3                                 FD-202            takes into account the additional criteria to produce
    Application of Fuzzy Decision Making for              the set of best summaries sought. An example of the
  Innovative Production Planning, Controland              generation of linguistic summaries of time series of
                  Supply Chain                            daily quotation of an investment (mutual) fund is
             Dieter Roller, *Erik Engesser
   (Universität Stuttgart Universitätsstr, Germany),       Room 3                                 FD-204,             Supplier Selection Based on Fuzzy Inertial                            Capability Index
Production planning and controlling systems (PPC),           *Bahram Sadeghpour-Gildeh, Samaneh Asghari
supply chain management systems (SCM) and                            (University of Mazandaran),
enterprise resource planning systems (ERP) operate,
the business processes in production.PPC systems
consist of heterogenic networks of IT systems, control    The process capability indexC , which considers the
systems, factory automation, robots etc. The depth of
                                                          process variance and departure of the process mean
automation with PPC systems is a current development
                                                          from the target value, is important in the
in production. Another important development is the
                                                          manufacturing industry to measure process potential
enlargement of logistic supply chains. Advanced
                                                          and performance. This paper extends its applications
planning and controlling concepts are required to                                                   ~
achieve       an      efficient    production       and   to calculate the process capability index C of fuzzy
stabledelivery.Various innovative concepts exist          numbers by using Buckley’s approach. In fact, the α-
theoretically. Theseinnovative concepts can be proved     cuts of fuzzy observations are first derived based on
for specificproduction process models by simulation.      various values of α, and then, for each supplier the
FDM (Fuzzy decision making) is a solution to decide,      membership function of fuzzy process capability index
which concept is profitable. It uses results of data
                                                          C is constructed based on the α-cuts of fuzzy
analysis of Business Intelligence (BI) technologies and     pi
                                                          observations. We apply the Dp,q-distance between
database mining. FDM is a successful method for
                                                          fuzzy numbers as a criteria to choose the preferable
making predictions and strategy decisions for
                                                          suppliers. An illustrated example of LED components
production planning and production control.
                                                          demonstrates that the proposed method is effective
                                                          and feasible for the evaluation of competing process
    Real-World Applications (1)                                                      Parallel Session 3
                                                            farmers so that the supply of agricultural products can
 Room 4                               RW-101                be sustained. One method to formulate a fair pricing
      Qualitative Expression using AHOGE                    mechanism for farmers is utility risk balancing. This
for Smart Meter and Appliances in Home Energy               paper will explain a pricing model at farm level by
             Management System                              consensus using stakeholder dialogue approach which
                                                            is based on balancing the fuzzy risk utility preference
  Yoichi Yamazaki, Yasutaka Yoshida, Makoto Motoki          that will be faced by all levels of the supply chain
               (Kanto Gakuin University),                   members. Fuzzy risk utility optimization was used to
  {yamazaki, f0742081, motoki},          get consensus of supply chain stakeholder dialogue
   Takuya Hashimoto (Tokyo University of Science),          while basic risk utility function was derived by using
                                   fuzzy regression approach. The model is validated in
         Yutaka Hatakeyama (Kochi University),              the corn supply chain management to determine the
                              corn price at farmer level using the risk constraints of
              Fangyan Dong, Kaoru Hirota                    each stakeholder.
            (Tokyo Institute of Technology),
            {tou, hirota}               Room 4                               RW-103
                                                             Comparing Methods for Knowledge-Driven and
Qualitative expressions using an Antenna Hair-type
                                                              Data-Driven Fuzzy Modeling: A Case Study in
Object for Generating Empathy (AHOGE) are proposed
for smart meters and smart appliances in Home Energy
                                                                            Textile Industry
Management System (HEMS), where the expressed
motions by the AHOGE change according to the                  *Maryam Nasiri (University of Siegen, Germany),
qualitative evaluation of home electricity consumptions      
interactively. To estimate effects of the proposed          Eyke Hullermeier, Robin Senge (University of Marburg,
expression by the AHOGE on human, two types of                  Germany),
questionary investigations are performed in the three            Edwin Lughofer (University of Linz, Austria),
prepared scenarios, where impression and memory are              
evaluated in a human-robot interaction situation. In        The aim of this study is to compare different
the memory test, the proposed expression shows the          approaches to fuzzy systems design from different
highest score of 70.6% in recognition method, and it is     perspectives: knowledge-driven versus data-driven and
confirmed that the proposed expressions work                rule-based (flat) versus tree-based (hierarchical). More
effectively to human memory by impressing qualitative       specifically, our comparison is focused on two of the
information.                                                arguably most important criteria in fuzzy systems
                                                            design, namely accuracy and interpretability. We
 Room 4                                 RW-102              compare two approaches to data-driven fuzzy
 Balancing the Risks of Agri-Supply Chain Using             modeling, namely fuzzy rule-based inference using the
       Fuzzy Utility Regression Approach                    well-established Takagi-Sugeno approach, and so-called
                                                            fuzzy pattern trees, an alternative approach that has
   *Suharjito, Bambang Haryanto (Center for Agro-           been proposed only recently. In contrast to the flat
  Industrial Technology, Agency for Assessment and          structure of fuzzy rule systems, pattern trees are
    Application of Technology, Jakarta, Indonesia)          hierarchical models. These methods are compared in
    Machfud, Sukardi, Marimin (Bogor Agricultural           the context of a concrete case study, namely the
  University, Indonesia), E-mail:         modeling of color yield in polyester high temperature
                                                            dyeing as a function of disperse dyes concentration,
Farmers as the earliest stage in supply chain networks
                                                            temperature and time. As a baseline, we include
are usually weak and have no bargaining power in
                                                            Mamdani models designed in a knowledge-driven way.
commodities pricing, because the commodities
                                                            Our results show that, at least in this particular
availability depends on season and has a very high
                                                            application, Takagi-Sugeno systems offer the best
potential for damage before be processed into specific
                                                            predictive accuracy, whereas Mamdani models are
products. So the price of agricultural commodities has a
                                                            preferable in terms of interpretability. Fuzzy pattern
very high risk of fluctuations compared to the price of a
                                                            trees seem to offer a good trade-off between both
finished product. As the farming profession becomes
less attractive to farmers engaged in that could
threaten the supply of agricultural products as raw
materials for industry and national food security.
Therefore it is necessary to develop a fairly
commodities pricing mechanism to encourage more
   Real-World Applications (1)                            Parallel Session 3
 Room 4                               RW-104
 Generation of Japanese Punning Riddles using a
          General Concept Dictionary

                  Masaaki Kanakubo
    (Shizuoka Institute of Science and Technology)

Some systems which generate Japanese punning
riddles have been proposed. However, these systems
employed special concept dictionaries and templates
used to generate the surface texts. This paper proposes
the generation system of Japanese riddles using only a
general concept dictionary. This paper shows subjects
experiments in order to confirm the validity of the
proposed system.
    Fuzzy Sets                                                                       Parallel Session 4
                                                           this equivalency in the case of fuzzy environment, we
 Room 1                                  FS-001            construct the fuzzy test showing the degree of
The Similarity Measure between Interval Type-2             acceptability of the null and alternative hypotheses of
  Fuzzy Sets based on the Intersection of their            interest. A numerical example in the _eld of lifetime
                     FOUs                                  study is given to clarify the theoretical results.

       Babak Rezaee (Bojnord University, Iran)              Room 1                                FS-004
                             Data–Driven Uncertainty Quantification for
                                                                        Type–2 Fuzzy Sets
This paper presents a similarity measure for interval
type-2 fuzzy sets based on the intersection of the
                                                            Ernesto Araujo (Universidade Federal de S˜ao Paulo
footprint of uncertainty. We also established the
                                                            (UNIFESP), Hospital Municipal Dr. Jose de Carvalho
closed-form of the proposed similarity measures for
                                                                  Florence (HMJCF), Assoc. Paulista para
Gaussian interval type-2 fuzzy sets with uncertain
                                                                 o Desenvolvimento da Medicina (SPDM)),
standard deviation. Numerical examples demonstrate
the use of the similarity measures and the quality of
the numerical scheme.
                                                           Data-driven type-2 fuzzy sets obtained by employing
 Room 1                                 FS-002             both probability theory and type-1 fuzzy set theory are
Fuzzy Sets and Cut Systems in a Category of Sets           proposed in this paper. The resulting type-2 fuzzy set is
            with Similarity Relations                      based on perfect information for representing an
                                                           imperfect description. Type-1 fuzzy set assumes that
  Jiří Močkoř (University of Ostrava, Czech Republic),     imperfect information is a matter of uncertainty,
                               impression or vague information. Type-2 sets is
                                                           preferred over type-1 counterpart, when the interest is
Let Ω be a complete residuated lattice. Let Set R(Ω) be
                                                           to deal with imperfect upon imperfect knowledge
the category of sets with similarity relations with
                                                           representation. Further, when dealing with data--
values in Ω (called Ω-sets), which is an analogy of the
                                                           driven approach the proposed becomes a feasible and
category of classical sets with relations as morphisms.
                                                           straight alternative for describing the uncertainty
A fuzzy set in an Ω-set in the category Set R(Ω) is a
                                                           quantification underlying a real-world system. In so

where ↔ is a biresiduation operation in Ω. In the paper
morphism from Ω-set to a special Ω-set (Ω,↔),              doing, the proposed approach aims at finding out a
                                                           way of dealing with, for most, two apparently
we prove that fuzzy sets in Ω-sets in the category Set     antagonist but complementary approaches.

systems (Cα )α∈Ω ).
R(Ω) can be expressed equivalently as a special cut

 Room 1                                   FS-003
Fuzzy Statistical Tests Based on Fuzzy Confidence

*Jalal Chachi (Isfahan University of Technology, Iran),
S. Mahmoud Taheri (Isfahan University of Technology,
        Ferdowsi University of Mashhad, Iran),

A general method is proposed to construct fuzzy tests
for testing statistical hypotheses about an unknown
fuzzy parameter, when the data available are
observations of a fuzzy random variable. The proposed
method to construct such tests is essentially based on
the one-to-one correspondence between the
acceptance region of any level α test and the 1- α level
confidence interval for the same parameter. By using
    Fuzzy Numbers                                                                     Parallel Session 4
 Room 2                                FN-001               Room 2                                   FN-003

                                                                  Theorem of Hesitant ��������-Fuzzy Sets
    A Quantitative Approach to Quasi Fuzzy                    On Resolution Identity and Representation
    *Christer Carlsson, Robert Full´er (IAMSR, Ǻbo             *Sayed Ali Reza Hosseini Dehmiry (Vali_e_Asr
Akademi University, Finland),,    University of Rafsanjan, Iran),
                                   Mohammad Ali Yaghoobi (Shahid Bahonar University
  József Mezei (Turku Centre for Computer Science,               of Kerman, Iran),
                                                           Recently, hesitant fuzzy sets are introduced as a
In this paper we generalize the principles of              general class of fuzzy sets. It has been shown that fuzzy
possibilistic mean value, variance, covariance and         sets, interval valued fuzzy sets, intuitionistic fuzzy sets,
correlation of fuzzy numbers to quasi fuzzy numbers.       and some other famous sets can be considered as
We will show some necessary and sufficient conditions      special cases of hesitant fuzzy sets. However, just some
for the existence of possibilistic mean value and          elementary operations have been studied on hesitant
variance for quasi fuzzy numbers. Considering the          fuzzy sets. This paper focuses on two large application
standard exponential probability distribution as a quasi   concepts of fuzzy set theory namely resolution identity
fuzzy number we will compare the possibilistic and the     and representation theorems. It is shown that these
probabilistic correlation coefficients.                    theorems are valid for hesitant fuzzy sets.

 Room 2                                 FN-002
  Fuzzy Present worth Analysis Using LR Fuzzy

*Gizem Karakan, Ronay Ak, Özgür Utkan Eriş (Istanbul
 Technical University, Turkey),

Present worth analysis is most frequently used to
determine the present value of future money receipts
and disbursements. We propose an engineering
economic decision model under uncertainty in which
all the parameters are fuzzy numbers. The present
worth formulation of this fuzzy cash flows model is
derived by using LR fuzzy numbers. To illustrate the
application of the proposed fuzzy present worth
analysis, a numerical example is presented. The data
for interest rates are taken from Turkish Central Bank
and an appropriate fuzzy interest rate obtained for the
analysis. It has been observed that the changes in
variables affect the present worth significantly.
   Fuzzy Inference                                                                  Parallel Session 4
                                                           is necessary to estimate the current position of the
 Room 3                                 FI-001             operating point in relation to the maximum power-
   Credit Scoring Models Based on ANFIS and                rotor speed curve characteristic by using fuzzy rules.
                Neural Networks                            Numerical simulations are used for preliminary
                                                           checking the control law based on this estimation.
     Mohammad Hossein Fazel Zarandi (Amirkabir
              University of Technology),                    Room 3                                  FI-003
                                     A Neuro-Fuzzy Model for Prediction of
Milad Avazbeigi (European Centre for Soft Computing),       Agricultural commodity Price: the Case of Corn                                   Price in Iran
 I. Burhan Türksen (TOBB Economy and Technology
  University-Turkey, University of Toronto, Canada),        *Mohammad Hassan Tarazkar, Abdoulkarim Esmaeili,                (Collage of Agriculture, Shiraz University, Iran)
Credit scoring that is mainly about classification of
customers is one of the most important banking             The main propose of this study is comparing the
procedures. With growing importance of credit scoring      performance of adaptive network-base fuzzy inference
intensified by recent economic crisis, developing more     system (ANFIS) with artificial neural networks (ANNs)
accurate classifying models has become more                and autoregressive integrated moving average (ARIMA)
important than ever. Recently, soft-computing              models for predicting corn price in Iran. The monthly
methods have been widely used in this area. In this        time series data covers the months of April 1992 – Jun
research, the performance of a new credit scoring          2010. Results showed that ANN model’s performance
model (CSM) which is based on ANFIS is evaluated.          was slightly better than that of ARIMA models. On the
Performances of the proposed models are tested via         other hand, adding fuzzy theory to ANN can improve
experiments on two real world databases. The               their efficiency of predicting. Therefore, ANFIS is the
performance of the new model is compared to some           best method for predicting corn price.
widely accepted neural network models and it is shown
that the model outperforms NN models in terms of
both accuracy and interpretability.
                                                            Room 3                                 FI-004
                                                             Fuzzy Singleton-Type SIRMs Connected Fuzzy
 Room 3                                 FI-002             Inference Method: Property and Application to a
Fuzzy Logic Rule Based on Maximum Power Point                             Medical Diagnosis
    Tracking for Variable Speed Wind Energy
                                                              *Hirosato Seki (Osaka Institute of Technology),
               Conversion Systems                                  
                                                            Masaharu Mizumoto (Osaka Electro-Communication
    *Ahmad Nadhir (Kumamoto University, JAPAN),                 University),
     Agus Naba (Brawijaya University, INDONESIA),          The single input rule modules connected fuzzy
                                   inference method (SIRMs method) can decrease the
    Takashi Hiyama (Kumamoto University, JAPAN),           number of fuzzy rules drastically in comparison with
                       the conventional fuzzy inference methods. However,
                                                           the inference results obtained by the SIRMs method
The problem of control associated wind energy              are generally simple compared with those of the
conversion systems using horizontal-axis fixed-pitch       conventional fuzzy inference methods. From this
variable-speed low-power, working in the partial load      reason, Seki has proposed a fuzzy singleton-type SIRMs
region, consisting in the energy conversion                method, which weights the rules of the SIRMs method,
maximization, is approached here under the                 in order to solve the above problem. This paper
assumption that the wind turbine model and its             clarifies the property of the fuzzy singleton-type SIRMs
parameters are poorly known. The optimum seeking           method, from the view point of monotonicity.
methods by MPPT fuzzy control approach, is the             Moreover, the fuzzy singleton-type SIRMs method is
proposed control solution aims at driving the average      shown to be superior to the conventional SIRMs
position of the operating point near to optimality. The    method by applying to a medical diagnosis.
reference of the rotational speed is adjusted such that
the turbine operates around maximum power for the
current wind speed value. In order to establish whether
this reference must be either increased or decreased, it
    Fuzzy Space & Optimization                                                        Parallel Session 4
 Room 4                               FO-001                  Room 4                                   FO-004
  Some Fixed Point Theorems in Fuzzy Metric                    Proposal on Formalizing Uncertain Business
                   Spaces                                     Criteria as Fuzzy Constraints in Multi-Objective
                                                                              CSP Optimization
 Shaban Sedghi (Islamic Azad University, Qaemshahr,
           Iran),                                      Krisztian Balazs, Mark Farkas
                                                               (Budapest University of Technology and Economics,
In this paper, we consider complete fuzzy metric space
and prove common fixed point theorems for weakly
                                                              Laszlo T. Koczy (Szechenyi Istvan University-Hungary,
compatible maps in these spaces. Our results
                                                               Budapest University of Technology and Economics-
generalize the recent result many other known results.

 Room 4                                         FO-002       The paper proposes a method on formalizing uncertain
  Some Results for Mappings in Convex Fuzzy Banach           business criterions often found in real optimization
                      Spaces                                 problems, where possible solutions should have to
                                                             meet a mixture of informal and/or uncertain business
 Nabiollah Shobkolaei (Islamic Azad University, Babol,
                                                             criterions and crisp constraints, such as state
                                                             regulations and local laws. These conditions cannot be
In this paper, we give some new definitions of fuzzy         formulated or satisfied easily by the means of
Banach spaces and we prove a common fixed point              traditional, crisp methods. In this paper a method is
theorem for two mappings in convex fuzzy Banach              proposed to overcome this limitation by introducing a
spaces.                                                      hybrid memetic algorithm with fuzzy constraints and
                                                             rule bases. A modified version of the well known Crew
 Room 4                               FO-003                 Scheduling Problem (CSP) is investigated, where most
                                                             of the uncertain criterions are formulated as fuzzy
An approach for Fuzzy Dominant Color Descriptor
                                                             constraints encapsulated into the fitness function of
                                                             various metaheuristics. In order to fulfill informal
 J. Chamorro-Martinez (University of Granada, Spain),
                                                             business requirements a set of fuzzy rule based
                                                             transformations are also applied on the solutions found
    J.M. Soto-Hidalgo(University of Cordoba, Spain),
                                                             by these heuristics as a post processing step. The
                                                             applicability of the proposed method is shown on a
    D. Sanchez (European Centre for Soft Computing
                                                             real-life example using bacterial memetic algorithm,
                Mieres, Asturias, Spain),
                                                             cross-entropy method and ant colony optimization.
  P. Martinez-Jimenez (University of Granada, Spain),

In this paper, a new Dominant Color Descriptor is
proposed. This descriptor is defined as a fuzzy set over
a finite universe of fuzzy colors, in which membership
degrees represent the dominance of each color. The
fuzzy colors employed are fuzzy sets defined on an
ordinary color space, filling the semantic gap between
the color representation in computers and its human
perception. The dominance of each fuzzy color is
calculated on the basis of a fuzzy quantifier
representing the notion of dominance, and a fuzzy
histogram representing as a fuzzy quantity the
percentage of pixels that match each fuzzy color. The
obtained descriptor can be employed in a large amount
of applications. We illustrate the usefulness of the
descriptor by a particular application in image retrieval.
    Social Applications                                                               Parallel Session 4
 Room 5                                  SA-001             Room 5                                SA-003
Application of functions with fuzzy parameters in             Fuzzy Social Network Modeling of Micareta
          marketing and management
                                                             Ernesto Araujo (Universidade Federal de Sao Paulo
 *Liana Kaznovskaya, Yury Chernyshov (Moscow State                (UNIFESP)),,
                 Forest University)                          ,
                                                           Fuzzy social modeling is employed for explaining a
The method of representation of models of marketing        public social network in this paper. This fuzzy social
and management programs is proposed. It is offered to      network approach is employed to represent the
consider parameters of models as fuzzy sets with the       relationship of individuals participating of a public
functions of membership which are looking like a           event known as Micareta, as an application case study.
triangle. The estimation of fuzzy model parameters is      Micareta is the term used for assigning the carnival out
made by solving problem of linear programming. The         of the period of Carnival in Brazil. This festive and social
model allows suggesting marketing programs or              event portrays the special characteristic of a large
management decisions before sales/profit parameters        group of people following a truck, known as Tri-
reach critical values.                                     electrico, across the streets. This paper reports on the
                                                           application of a new concept of fuzzy particle recently
 Room 5                                  SA-002            proposed to model the person--related physical or
 Are Technical Trading Rules Useful to Beat the            abstract space and location, as well as the derived fuzzy
                                                           social computing to understand the structures of a
   Market? Evidence from the Brazilian Stock
                                                           social network to represent their interactions.

    *Aurelio Fernandez Bariviera (Universitat Rovira
         i Virgili),
     Laura Lanzarini (Instituto de Investigacion en
  Informatica LIDI, Universidad Nacional de La Plata),
  Juan Mart´ın Iglesias Caride (Universidad de Buenos

According to the Efficient Market Hypothesis, future
returns cannot be forecasted based on past returns.
This paper explores the profitability of several trading
rules vis-`a-vis a buy-and-hold strategy and an ARMA
prediction model. We use a Multilayer Perceptron
network to forecast the daily return.The network is
trained using a back propagation algorithm. According
to our results the ANN earns a greater return than the
benchmark strategy. However, the prediction power is
far from the perfect forecast. This implies that the
Efficient Market Hypothesis is partially invalidated.
     OS-4: Hybrid Intelligent Systems (1)                                               Parallel Session 5
 Room 1                               OS-411                 Room 1                                OS-413
      Scene Frame Generation of Manga                       Automatic Design of Fuzzy Systems for Control of
   Based on Summarization of Narrative Text                     Aircraft Dynamic Systems with Genetic
  Kodai Takashima, Takehisa Onisawa (University of
                 Tsukuba, Japan),                              Leticia Cervantes, Oscar Castillo (Tijuana Institute,                     Technology, Mexico),,                        

This paper aims at the scene frame generation based         In this paper we present the automatic design of fuzzy
on the summarization of a narrative text as the first       systems for the longitudinal control of an airplane using
step of the study, the automatic generation of Manga        genetic algorithms. This control is carried out by
from a narrative text using a computer. Scene frames        controlling only the elevators of the airplane. To carry
are generated from a summary using four kinds of            out such control it is necessary to use the stick, the rate
importance degrees, the importance degree of an             of elevation and the angle of attack. These three
entire narrative text, the importance degree of a story     variables are the inputs to the fuzzy inference system,
and the importance degree of the first appearance of a      which is of Mamdani type, and we obtain as output the
character in a story, the importance degree of the          values of the elevators. After designing the fuzzy
sentence location. Subjects experiments are performed       inference system we turn to the simulation stage.
in order to verify the effectiveness of the present         Simulation results of the longitudinal control are
approach of scene frames generation.                        obtained using a plant in Simulink and those results are
                                                            compared against the conventional PID controller. For
 Room 1                              OS-412                 optimizing the fuzzy logic control design we use a
      User Behavior Model Approach for                      genetic algorithm.
           Recommender Systems
                                                             Room 1                                  OS-414
    *Victor Romero, Juan R. Castro (Baja California          Optimization of Modular Neural Networks and
           Autonomous University, Mexico),                     Type-2 Fuzzy Integrators using Hierarchical,                  Genetic Algorithms for Human Recognition
Oscar Castillo (Tijuana Institute of Technology, Mexico),
                             Daniela Sanchez, Patricia Melin (Tijuana Institute of
                                                            Technology, México),,
The competition in electronic commerce has made the              
usage of intelligent methods to predict the user’s
interests, and these preferences can be extracted from      In this paper we describe the application of a Modular
the data obtained from the user’s activity in a website.    Neural Network (MNN) for iris, ear and voice
Most of the current solutions for Recommender               recognition for a benchmark database. The proposed
Systems are based on content or collaborative filtering.    MNN architecture consists of three modules; for iris,
In this paper, we present a user behavior                   ear and voice, respectively. Each module is divided into
recommendation model approach that makes use of             other three sub modules. Each sub module contains
Web Usage Data Mining techniques for user profile           different information, this means one third of the
extraction. This model is implemented as a                  database for each sub module. We considered the
Recommender System application, where we use the            integration of each biometric measure separately.
subtractive clustering algorithm and a recommendation       Later, we proceed to integrate these modules with a
engine based in fuzzy reasoning to determine the            fuzzy integrator. Also, we performed optimization of
user’s similarity                                           the modular neural networks and the fuzzy integrators
                                                            using genetic algorithms, and comparisons were made
                                                            between optimized results and the results without
    OS-3: Fuzzy Algebraic Structure (1)                                             Parallel Session 5
 Room 2                                 OS-311             Room 2                                 OS-313
    On T-Fuzzy Bi-Ideal and Quasi-Ideal of Γ-                Accessible and Co accessible General Fuzzy
                   Semigroup                                                 Recognizer

    *N. Thillaigovindan, V. Chinnadurai (Annamalai        *Kh. Abolpour (Islamic Azad University, Kazerun, Iran),
         University, India),,              
                          M. M. Zahedi (Tarbiat Modares University, Iran),
In this paper, we introduce the notion of T-fuzzy bi-
ideal and T-fuzzy quasi-ideal of a Γ-semigroup. We        In this note first by considering the notion of general
illustrate by examples that T-fuzzy subsemigroup is not   fuzzy recognizer we define direct product and join of
a fuzzy subsemigroup of a Γ-semigroup. Generally in       two general fuzzy ∑-recognizer and obtain some
fuzzy theory, there is a one-to-one correspondence        relations on them. Specific, give the notion of (trim)
between fuzzy set and its level set. But this concept     reversal of a given general fuzzy automation (for
cannot be extended to T-fuzzy set and t-level set. This   simplicity GFA). In particular, we define the notion
is explained by examples. We have obtained a one-to-      of the language of a given general fuzzy ∑-
one correspondence between t-level bi-ideal and T-        recognizer and we show that the language of
fuzzy bi-ideal of a Γ-semigroup. Finally we find the      direct product of two ∑-recognizer is equal to
equivalent conditions on T-fuzzy ideals, T-fuzzy quasi-   direct product of their languages. Finally we
ideals and T-fuzzy bi-ideals of regular Γ-semigroups.     present the definition of accessible and co
                                                          accessible general fuzzy recognizer and prove
                                                          some theorems.
 Room 2                               OS-312
  Some Algebraic Operations on General Fuzzy
                                                           Room 2                               OS-314
                                                            Fuzzy Hyper MV-Ideals in Hyper MV-Algebra
  * M. M. Zahedi (Tarbiat Modares University, Iran),
                                                          Lida Torkzadeh (Islamic Azad University, Kerman, Iran)
 Kh. Abolpour (Islamic Azad University, Kazerun, Iran),
                                                          In this paper the notion of fuzzy (weak, strong) hyper
                                                          MV-ideals in hyper MV-algebras are introduced and
In this note first by considering the notion of general
                                                          their relations/properties are investigated. Finally by
fuzzy automata (for simplicity GFA), we define the
                                                          defining product of two fuzzy strong hyper MV-ideals
notions of direct product and join of two GFA. Also we
                                                          we determine a decomposition on fuzzy strong hyper
present some examples to clarify these notions. Finally
we introduce some operations on (Fuzzy) sets and then
prove some related theorems.
 OS-2: Fuzzy Functions, Relations, and Fuzzy
 Transforms: Applications to Fuzzy Systems (1)                                           Parallel Session 5
 Room 3                                  OS-211               Room 3                                OS-213
  Towards a General Description of Translation-                 On Mutual Compatibility of Mathematical
   Invariant and Translation-Covariant Linear                    Properties of Fuzzy Inference Systems
   Transformations: A Natural Justification of
    Fourier Transforms and Fuzzy Transforms                     *Martin Stepnicka (University of Ostrava, Czech
*Irina Perfilieva (University of Ostrava, Czech Republic),
                            We focus on fuzzy relational inference systems.
 Vladik Kreinovich (University of Texas at El Paso, USA)     Investigating such systems leads to natural
                                    mathematical problems (properties). Among them, we
                                                             may find fuzzy interpolation (preserving the modus
In many practical situations, we are interested in the       ponens property) or continuity and monotonicity of a
dependencies that do not change with time, i.e., that        resulting function that is obtained if we use a
do not change when we change the origin of the time          defuzzification. All these properties were investigated
axis.    The     corresponding       translation-invariant   separately. Natural question is, whether conditions for
transformations are easy to describe: they correspond        preserving one of such properties do not contradict
to convolutions, or, equivalently, to fuzzy transforms. It   conditions for the other properties. This paper is a
turns out that if we relax the invariance condition and      combination of a survey paper, position paper and a
require only that the transformation be translation-         research paper that tries to over roof the whole area by
covariant (i.e., that it appropriately changes under         collecting the most relevant results concerning every
translation), we get exactly two classes of                  single property and to answer the most natural
transformations: Fourier transforms and fuzzy                questions.
transforms. This result explains why both transforms
have been successfully used in data processing.

 Room 3                                OS-212
Graded Fuzzy Rules for Functional Dependencies:
      Normal Form Based Formalization
Martina Dankova (University of Ostrava, IRAFM, Czech

We will introduce graded fuzzy rules that are
formalized using a new type of normal form. We will
show its approximation properties and a relationship to
the existing normal forms.
    Fuzzy Theory (1)                                                                  Parallel Session 5
                                                            value, by using the α-cuts approach. We also provide
 Room 4                                  FT-101             an example to clarify the approach in this paper.
     Linguistic Quantifiers and Bipolarity
                                                             Room 4                               FT-104
 *Ludovic Liétard, Nouredine Tamani, Daniel Rocacher            An Axiomatic Approach to the Notion of
               (IRISA/IUT Univ. Rennes 1),
                                                                        Semantic Antagonism,,
                                *Javier Montero, J. Tinguaro Rodríguez, Camilo Franco,
                                                             Begoña Vitoriano (Complutense University of Madrid,
Flexible queries allow users to express their
preferences using fuzzy conditions. In addition,
linguistic quantifiers define a particular type of fuzzy    The concept of semantic antagonism refers to the
conditions called quantified statements or quantified       human capability of characterizing those objects of an
propositions. Moreover, another kind of complex fuzzy       universe of discourse being dissimilar, significantly
conditions, called bipolar conditions, made of a            different from or opposite to a given concept,
mandatory condition (a constraint) and an optional          predicate or previous knowledge. This capability is
condition (a wish). We aim in this paper at combining       essential in the formation of linguistic polarities, such
linguistic quantifiers and fuzzy bipolar conditions in      as false/true or good/bad, that enable us to analyze,
order to express and interpret bipolar quantified           organize (classify) and give meaning to reality in terms
propositions.                                               of opposite poles of semantic reference. Though they
                                                            are related, the notion of semantic antagonism is
 Room 4                                        FT-102       somehow more general than that of antonymy, since
Weighted Aggregation of Bipolar Satisfaction Degrees        the former allows to characterize opposition even in
                                                            the absence of antonym words and is not constrained
*Tom Matthé, Guy De Tré (Ghent University, Belgium)         by the assumption of symmetry that underlies the last.,                  Therefore, the notion of semantic antagonism seems to
                                                            be well suited for giving base to those knowledge
In recent years, there has been a growing interest in
                                                            representation frameworks which introduce some kind
dealing with user preferences expressing both positive
                                                            of bipolarity or distinction between positive and
and negative information in flexible querying of
                                                            negative information. In this paper, an axiomatic
databases. This is what is usually referred to as bipolar
                                                            approach is taken in order to describe the reasonable
querying of databases. Moreover, the positive and
                                                            assumptions a dissimilarity operator acting on a set of
negative preferences do not necessarily have to be
                                                            predicates should obey. This enables to derive a basic
each other’s complement, what is referred to as
                                                            differentiation of these operators, and particularly to
heterogeneous bipolarity. Bipolar Satisfaction Degrees
                                                            show that antonyms are special cases of antagonistic
have been introduced as a framework, using an
                                                            predicates. Furthermore, through the proposed axioms
independent satisfaction and dissatisfaction degree, to
                                                            it is possible to introduce the idea of dissimilarity
deal with such heterogeneous bipolarity. In this paper,
                                                            structure over a set of predicates, and the application
different ways to aggregate these Bipolar Satisfaction
                                                            of this last notion in the context of supervised learning
Degrees are studied, taking into account weights to
                                                            for classification tasks is briefly described.
allow to make possible distinctions in relative
importance between the different preferences.

 Room 4                              FT-103
 Non-Parametric Two-Sample Linear Rank Tests
         for Imprecise Observations

 *Gholamreza Hesamian, S.Mahmood Taheri (Isfahan
          University of Technology, Iran),,

This paper extend the problem of general non-
parametric linear rank tests in the case where the
available sample of observations are imprecise and the
level of significance is a fuzzy number. To do this, the
usual concepts of test statistic, and critical value are
extended to the fuzzy test statistic and fuzzy critical
    Computational Intelligence (2)                                                   Parallel Session 5
 Room 5                                 CI-201                Room 5                                 CI-203
  Generate Membership Function with Hybrid                     Multi-Thread Constructive Back Propagation
  Genetic Particle Swarm Optimization for Job                Neural Network for Aromas Pattern Classification
           Shop Scheduling Problem
                                                             *Radi (Institut Teknologi Sepuluh Nopember, Gadjah
   *Kurniawan Eka Permana (Trunojoyo University,             Mada University, Indonesia),
       Indonesia),                 Muhammad Rivai, Mauridhi Hery Purnomo (Teknologi
                                                                    Sepuluh Nopember),
This paper proposed hybrid Genetic Particle Swarm
Optimization to generate fuzzy membership function           Back propagation neural network (BPNN) is one model
(FGPSO) for solving Job Shop Scheduling Problem.             of supervised MLP neural networks training which have
Hybrid FGPSO is based on Fuzzy Logic. Fuzzy Logic has        been widely applied in various fields. BPNN with
membership function which will be enhanced with              constructive algorithm (CBPNN) is developed to
GPSO. GPSO was derived from Particle Swarm                   optimize network construction in order to make it
Optimization, which was incorporated with the genetic        powerful for many purposes. This study aims to
reproduction mechanism, namely selection, crossover          construct CBPNN which is used to classify patterns of
and mutation. GPSO combines the particle swarm               aromas. Parallel processing method by multi-threading
optimization algorithm’s strong ability in global search     is applied to train the network (MCBPNN). BPNN and
and the genetic algorithm’s ability to escape from local     CBPNN with standard learning are used to evaluate its
optima. Parameter value of membership function               performance, i.e. training speed and network size. The
changes according to the result from GPSO. FGPSO is          study results show that BPNN has better performance
implemented to solve Job Shop Scheduling Problem             in classifying of simple data patterns than CBPNN.
and the results show that compare to standard Fuzzy,         However, for more difficult patterns, training of BPNN
FPSO and other methods, FGPSO gave better result.            needs time for trial and error. In this case, CBPNN is
                                                             more suitable because of its efficient in time for
Room 5                                   CI-202              training and computing process. Multi-threading can be
Development of PSO_VC for Training the Neural                applied to train the network. Comparing to standard
      Network for a Real Line Tracing Car                    learning, this method is able to accelerate training
                                                             process of the network. The experimental results show
 Yukinobu Hoshino, Hiroshi Takimoto (Kochi University        that training of MCBPNN is 2.1 times faster than
               of Technology, JAPAN),                        training of CBPNN. Nevertheless, applying multi-,                   threading in CBPNN tends to produce network with a
                       larger size.

In this research, a fuzzy controller system is useful as a
key technique to design a machine controller because a
fuzzy system can be designed by fuzzy sets, which can
be represented using linguistic descriptions of natural
language. Those natural languages are able capture
human knowledge in fuzzy rules. A fuzzy controller
system consists of fuzzy rules and involved techniques.
Recently, the research of the fuzzy control has
controlled various machines. We verified that fuzzy
control can be applicable to a line tracing car control,
which is running at a high speed. In our research,
designers took a huge amount of time to adjust and
setup the fuzzy controller. In order to apply the Neural
Network (NN) controller, we designed a simple
network system, and setup a PSO_VC and parameters.
The PSO_VC (a PSO with Velocity Control) is a speed
control strategy for all moving particles on the PSO. In
order to configure the NN, a very powerful and quick
PSO_VC is used. The PSO_VC is able to adjust all
weights and threshold levels. In this paper we present
the performances of accurate control and compare
results between fuzzy controller and the NN controller.
    OS-4: Hybrid Intelligent Systems (2)                                             Parallel Session 6
 Room 1                                  OS-421              Room 1                                 OS-423
 Fuzzy Logic Adaptation of a Hybrid Evolutionary              Sugeno Integral for Edge Detection in Digital
     Method and its Comparison with other                                       Images
             Optimization Algorithms
                                                                 *Olivia Mendoza (Baja California University),
 *Fevrier Valdez, Patricia Melin, Oscar Castillo (Tijuana        
           Institute of Technology, Mexico),                    Patricia Melin (Tijuana Institute of Technology),,,                   
                                                            Some well known edge detectors like the Sobel and
We describe in this paper a new hybrid approach for         Morphological Gradient do not include any variable
optimization combining Particle Swarm Optimization          parameter. These static calculations produce results
(PSO) and Genetic Algorithms (GAs) using Fuzzy Logic        that can limit the performance of these classical
to integrate the results. The new evolutionary method       methods because they do not consider the variation of
combines the advantages of PSO and GA to give us an         the brightness and contrast in different images. In this
improved FPSO+FGA hybrid method. Fuzzy Logic is             work we show the improvement of both classical edge
used to combine the results of the PSO and GA in the        detectors by extending them using the Sugeno integral
best way possible. The new hybrid FPSO+FGA approach         as aggregation operator for the final edge matrix. The
is compared with the Simulated Annealing (SA), PSO          proposed new methods can be called Sobel Sugeno
and GA methods with a set of benchmark                      edge detector and Morphological Gradient Sugeno
mathematical functions.                                     edge detector. In addition to the visual comparison of
                                                            the results using realistic images, we applied the Pratt's
 Room 1                              OS-422                 Figure of Merit as objective performance index, using
     Hybrid Model for General Knowledge                     synthetic images generated with mathematical
                                                            functions as ground truth reference edges.

 *Victor Romero, Mauricio A. Sanchez, Juan R. Castro,
  Antonio Rodriguez-Diaz (Universidad Autonoma de
            Baja California, Tijuana, Mexico),
   Oscar Castillo (Instituto Tecnologico de Tijuana,

A proposed hybrid model for knowledge
representation is shown in this paper, which in
comparison to other known models unifies
heterogeneous information utilizing a single notation
which can better represent concepts in a more human
readable way. By combining semantic networks,
categories, dynamic state events, neural networks and
fuzzy logic into one hybrid model, better real world
conceptual representation can be achieved, and with
this, many new possibilities for simulation of
knowledge, game intelligence, social simulation,
robotics, etc. This paper will focus on the introduction
of the proposed model and how fuzzy logic significantly
improves the representation of knowledge.
     OS-3: Fuzzy Algebraic Structure (2)                                              Parallel Session 6
Room 2                                   OS-321              Room 2                             OS-323
PFIDS: Parallel Fuzzy Intrusion Detection System               Some Result On Commutative BE–Algebras
 using Agent-based Reconfigurable Hardware
                                                              *A. Rezaei (Payame Noor University, Kerman, Iran),
  *Marjan Kuchaki Rafsanjani, Monireh Azimi Hemat                          a−
    (Shahid Bahonar University of Kerman, Iran)             Arsham Borumand Saeid (Shahid Bahonar University of
                                             Kerman, Iran),

In this paper, we present a new approach of fuzzy           In this paper we study the properties of commutative
agent-base intrusion detection system that exploits the     BE–algebras and we give the construction of quotient
inherent parallelism which is present in reconfigurable     (X/I; *, C1) of a commutative BE–algebra X via an
hardware for increasing the speed of system. Fuzzy          obstinate ideal of X. We construct upper emilattice and
Intrusion detection System (FIDS) is a network intrusion    prove that is a near lattice.
detection system that uses fuzzy systems to detect
malicious activities in the computer networks. We
show that this system can utilize reconfigurable
hardware and is based on the multi agent paradigm,
where multiple agents are used to express the
parallelism (functional, data, or temporal). Applying the
multi agent paradigm to reconfigurable hardware is
novel and has the potential to greatly increasing of
flexibility, scalability and efficiency of such systems.

 Room 2                                        OS-322
              Doubt Fuzzy BF-Algebra

Arsham Borumand Saeid (Shahid Bahonar University of
          Kerman, Iran),

In this paper the notion of Doubt fuzzy BF-algebra is
introduced. We stated and proved some theorem in
Doubt fuzzy BF-algebras and level subalgebras. Finally
we study the Artinian BF-algebras and characterized
them by Doubt fuzzy BF-subalgebras
 OS-2: Fuzzy Functions, Relations, and Fuzzy
 Transforms: Applications to Fuzzy Systems (2)                                        Parallel Session 6
 Room 3                                 OS-221               Room 3                                    OS-223
  The Use of Higher-Order F-transform in Time                         Laplace’s Theorem in Semirings
                Series Analysis
                                                             Xue-ping Wang, Yan Mo (Sichuan Normal University
      *Vilem Novak, Irina Perfilieva, Viktor Pavliska              Chengdu, People’s Republic of China),
    (University of Ostrava, IRAFM, Czech Republic), ,
                                                            Laplace’s Theorem is a well-known result relating the
In this paper, higher-order fuzzy transform                 determinant of matrix in classical linear algebras.
(F -transform) is presented and its application in the      This paper provides an extension of Laplace’s Theorem
analysis and forecasting of time series is demonstrated.    in algebraic structures much more general than the
The use of F -transform in the time series analysis is      field of real numbers, namely commutative semirings
motivated by its better approximation properties and        with the help of biderminant.
smoother results. In our case, we applied F -transform
for estimation of smoother trend-cycle and its slope. By
combining the latter and tools based on the formal
theory of evaluative linguistic expressions, we are able
to generate automatically linguistic evaluation of the
trend of time series in various time slots.

 Room 3                                 OS-222
  Cramer’s Rule for Systems of Fuzzy Relation

  Irina Perfilieva (University of Ostrava, IRAFM, Czech

The aim of this contribution is to apply the theory of
bideterminants and to show that solvability of a ystem
of fuzzy relation equations can be investigated with the
help of them. We will investigate a subclass of
similarity matrices over a semiring reduct of a
residuated lattice and show that they are results of
elementary transformations of the unit matrix. We will
investigate applicability of Cramer’s rule to a system of
fuzzy relation equations with a similarity matrix of
    Fuzzy Theory (2)                                                                 Parallel Session 6
                                                             Room 4                                 FT-203
 Room 4                               FT-201                 On Some Algebraic Properties of Fuzzy Co-Xor-
    Quasi-Standard Fuzzy Algebras a Short                                   Connectives
        Mathematical Characterization
                                                               *Mashaallah Mashinchi, Ghader Khaledi (Shahid
 *Omar Salazar Morales, Jos´e Jairo Soriano M´endez                 Bahonar University of Kerman, Iran),
    (Universidad Distrital Francisco Jose de Caldas, ,
                       In this paper some algebraic properties of fuzzy Co-Xor-
                                                            connectives and fuzzy implications based on fuzzy Co-
This paper presents the concept of quasi-standard           Xor-connectives are studied.
fuzzy algebras as a generalization of the standard fuzzy
algebras. The standard algebras only make use of             Room 4                                 FT-204
standard operations. The quasi-standard algebras
                                                            From a Static to Dynamic Analysis of Weblogs via
change the complement operation by one that only
satisfies two axiomatic requirements. The aim is to
                                                                          Linguistic Summaries
present its characterization and some properties that
are satisfied.                                               Sławomir Zadrozny, Janusz Kacprzyk (Polish Academy
                                                                   of Sciences),,
 Room 4                                 FT-202
 A general framework for a class of comparison              Evaluation, analysis, and design of web sites may be
            indices of soft partitions                      performed through an analysis of contents of a log file
                                                            which, even for moderately popular Web sites, can be
            Romain Quere, Carl Frelicot                     huge. Though statistical techniques may successfully be
         (University of La Rochelle, France),               employed for those purposes, they are often not,        human consistent and easy to grasp by human users. A
This article addresses the problem of constructing          new technique for summarizing the content of a log file
concordance measures between two crisp, fuzzy and           with a natural language like expressions, so called
possibilistic partitions from their coincidence matrices.   linguistic database summaries, was proposed by
A general framework is proposed, based on the               Zadrozny and Kacprzyk [1] by considering a static
definition of the generative functions for both the         situation. In this paper we propose to extend that
coincidence matrices and the concordance measure            approach to the dynamic case by considering the log
itself. It is shown that most of the existing comparison    file as a time series of what has happened (in the sense
indices that extend crisp ones to the soft domain can       of user calls) over some past time period. We propose
be defined within this framework. It allows to point out    some protoforms of linguistic data summaries for the
some theoretical drawbacks and advantages of these          dynamic case and show numerical analysis for a log file
indices, so that perspectives for defining new indices      in a server at a research institute.
can be drawn.
    Real-World Applications (2)                                                      Parallel Session 6
                                                            improving the digital services provided by the academic
 Room 5                                RW-201               digital libraries.
    Ontological architecture for developing
     computing with words based systems                      Room 5                                 RW-203
                                                             Least Squares Fuzzy Logistic Regression, A New
   *Mehdi Rohaninezhad ( University Kebangsaan,
                                                                       Model in Clinical Diagnosis
  Saeid Abbasbandy (Islamic Azad University, Iran),
                                                              *Saeedeh Pourahmad (Shiraz University of Medical
                                                                   Sciences, Iran),
   Nazlia Omar (University Kebangsaan, Malaysia),
                                                            S. Mahmoud Taheri (Isfahan University of Technology,
In this paper, we have offered an ontology based            Seyyed Mohammad Taghi Ayatollahi (Shiraz University
approach for developing computing with words (CW)             of Medical Sciences, Iran),
paradigm. This paradigm can be viewed as a
precisiative methodology for extension of semantic          A new fuzzy model named .Fuzzy Logistic Regression. is
web towards a fuzzy model of information. Ontological       proposed based on the least squares approach in fuzzy
model of CW is considered as an approach for                environment. The advantage of the proposed model is
developing explanatory database in this work. And           its ability to model vague binary observations in the
explanatory database plays the role of precisiation of      form of linguistic terms in which no probability
information for other domain ontologies. The proposed       distribution can be considered for such data. A clinical
ontology is based on ontology web language (OWL)            data set is employed to clarify the applicability of the
which is W3C standard for semantic web. This work has       proposed method to model the vague nature of
focused on developing n-array, structural and               diagnosis in Systematic Lupus Erythematosus (SLE)
propositional constraint variables. Partial concepts are    disease.
developed through structural variables in this work.
Developing fuzzy absolute and relative cardinality is        Room 5                                  RW-204
another contribution of this research.                       Automatic Repeat reQuest for Brain-Computer
                                                              Interfaces Reliability-based Automatic Repeat
 Room 5                               RW-202                      reQuest and Selective Repeat Variant
  A New Quality Evaluation Model Generating
                                                            *Takeshi Furuhashi, Hiromu Takahashi, Yusuke Kaneda,
   Recommendations to Improve the Digital
                                                                  Tomohiro Yoshikawa (Nagoya University),
   Services Provided by the Academic Digital                  ,
                   Libraries                              ,
      *F.J. Cabrerizo (Dept. Software Engineering
         and Computer Systems, UNED, Spain)
                            The P300 speller allows users to spell letters just by
    M.A. Mart´ınez, J. L´opez–Gij´on, B. Esteban, E.        thoughts. Its interface consists of letters arranged in a
    Herrera–Viedma (University of Granada, Spain),          matrix, and the user’s desired letter is determined by,,                 recognizing the P300, elicited by flashing the row or the,                 column containing the letter. Flashes are repeated to
                                                            improve the accuracy in exchange for the speed. This
In modern society, information diffusion and remote
                                                            paper proposes reliability-based ARQ (RB-ARQ) and its
education increase rapidly and, consequently, an
                                                            selective repeat variant, RB-SR-ARQ. RB-ARQ employs
academic digital library is not just a novelty but also a
                                                            the maximum posterior probability as a stopping
necessity, associated with the promotion and diffusion
                                                            criterion for the stimulus presentation. RB-SR-ARQ
of research work that is being carried out. As the
                                                            selects stimuli to be flashed based on their posterior
services provided by the academic digital libraries are
                                                            probabilities. Consequently, the accuracy can be
to satisfy users’ needs, users’ satisfaction is essential
                                                            improved compared with the standard averaging with a
for the success of them. Due to it, the improvement of
                                                            small loss of the speed.
the digital services provided by the academic digital
libraries is important in order to satisfy the users’
needs. The aim of this paper is to present a new quality
evaluation model which takes into account subjective
criteria to generate recommendations with the aim of
    Authors Index
A. Rezaei                     OS-323   Room 2   Parallel Session VI
Agus Naba                     FC-101   Room 2   Parallel Session II
Ahmad Nadhir                  FI-002   Room 3   Parallel Session IV
Angga Rusdinar                IT-002   Room 3   Parallel Session I
Anna Wilbik                   FD-203   Room 3   Parallel Session III
Arsham Borumand Saeid         OS-322   Room 2   Parallel Session VI
Aurelio Fernandez Bariviera   SA-002   Room 5   Parallel Session IV

Babak Rezaee                  FS-001   Room 1   Parallel Session IV
Bagus Tris Atmaja             FP-003   Room 2   Parallel Session I
Bahram Sadeghpour Gildeh      FD-204   Room 3   Parallel Session III

Carl Frelicot                 FT-202   Room 4   Parallel Session VI
Chastine Fatichah             OY-101   Room 1   Parallel Session II
Chih-Min Lin                  FD-201   Room 3   Parallel Session III
Christer Carlsson             FN-001   Room 2   Parallel Session IV

Daniella Sanchez              OS-414   Room 1   Parallel Session V
Dieter Roller                 FD-202   Room 3   Parallel Session III

Endah Suryawati Ningrum       FC-204   Room 2   Parallel Session III
Ernesto Araujo                FS-004   Room 1   Parallel Session IV
Ernesto Araujo                SA-003   Room 5   Parallel Session IV

F. J. Cabrerizo               RW-202   Room 5   Parallel Session VI
Fevrier Valdez                OS-421   Room 1   Parallel Session VI
Fitra A. Bachtiar             OY-103   Room 1   Parallel Session II

Gholamreza Hesamian           FT-103   Room 4   Parallel Session V
Gizem Karakan                 FN-002   Room 2   Parallel Session IV

Hanif Rasyidi                 OY-202   Room 1   Parallel Session III
Hendro Nurhadi                FC-201   Room 2   Parallel Session III
Hiroaki Inokuchi              FC-202   Room 2   Parallel Session III
Hirosato Seki                 FI-004   Room 3   Parallel Session IV
Hsin-Yu Liu                   FC-103   Room 2   Parallel Session II
      Authors Index
Indra Adji Sulistijono           FC-203   Room 2   Parallel Session III
Intan Nurma Yulita               HF-003   Room 1   Parallel Session I
Irina Perfilieva                 OS-211   Room 3   Parallel Session V
Irina Perfilieva                 OS-222   Room 3   Parallel Session VI

J. Chamorro-Martinez             FO-003   Room 4   Parallel Session IV
Jalal Chachi                     FS-003   Room 1   Parallel Session IV
Janusz Kacprzyk                  FT-204   Room 4   Parallel Session VI
Javier Montero                   FT-104   Room 4   Parallel Session V
Jiri Mockor                      FS-002   Room 1   Parallel Session IV

Kh. Abolpour                     OS-313   Room 2   Parallel Session V
Kodai Takashima                  OS-411   Room 1   Parallel Session V
Krisztian Balazs                 FO-004   Room 4   Parallel Session IV
Kurniawan Eka Pramana            CI-201   Room 5   Parallel Session V

Lestari Handayani                OY-203   Room 1   Parallel Session III
Leticia Cervantes                OS-413   Room 1   Parallel Session V
Liana Kaznovskaya                SA-001   Room 5   Parallel Session IV
Lida Torkzadeh                   OS-314   Room 2   Parallel Session V
Ludovic Lietard                  FT-101   Room 4   Parallel Session V

M. M. Zahedi                     OS-312   Room 2   Parallel Session V
Marjan Kuchaki Rafsanjani        OS-321   Room 2   Parallel Session VI
Martin L. Tangel                 OY-102   Room 1   Parallel Session II
Martin Stepnicka                 OS-213   Room 3   Parallel Session V
Martina Dankova                  OS-212   Room 3   Parallel Session V
Maryam Nasiri                    RW-103   Room 4   Parallel Session III
Masaaki Kanakubo                 RW-104   Room 4   Parallel Session III
Mashaallah Mashinchi             FT-203   Room 4   Parallel Session VI
Mehdi Rohaninezhad               RW-201   Room 5   Parallel Session VI
Mohammad Hassan Tarazkar         FI-003   Room 3   Parallel Session IV
Mohammad Hossein Fadel Zarandi   CI-104   Room 4   Parallel Session II
Mohammad Hossein Fadel Zarandi   FI-001   Room 3   Parallel Session IV
Momoi Shinji                     OY-201   Room 1   Parallel Session III
Mostafa Shirinfar                FD-101   Room 3   Parallel Session II
Mrinalini Shah                   FP-001   Room 2   Parallel Session I
       Authors Index
N. Thillaigovindan                OS-311   Room 2   Parallel Session V
Nabiollah Shobkolaei              FO-002   Room 4   Parallel Session IV
Nadezhda Yarushkina               FP-002   Room 2   Parallel Session I
Naimeh Borjalilu                  FD-102   Room 3   Parallel Session II
Naotsugu Yoshinaga                CI-102   Room 4   Parallel Session II
Nur Hasanah                       CI-101   Room 4   Parallel Session II

Olivia Mendoza                    OS-423   Room 1   Parallel Session VI
Omar Salazar Morales              FT-201   Room 4   Parallel Session VI

Pei-Chi Chen                      FD-103   Room 3   Parallel Session II

Radi                              CI-203   Room 5   Parallel Session V
Reggio Nurtanio Hartono           OS-502   Room 4   Parallel Session I

Saeedeh Pourahmad                 RW-203   Room 5   Parallel Session VI
Sayed Ali Reza Hosseini Dehmiry   FN-003   Room 2   Parallel Session IV
Seiji Yasunobu                    IT-003   Room 3   Parallel Session I
Seiji Yasunobu                    OS-501   Room 4   Parallel Session I
Setiawardhana                     HF-004   Room 1   Parallel Session I
Shaban Sedghi                     FO-001   Room 4   Parallel Session IV
Shinji Fukuda                     HF-001   Room 1   Parallel Session I
Shunichi Hattori                  FD-104   Room 3   Parallel Session II
Suharjito                         RW-102   Room 4   Parallel Session III
Syafiq Fauzi Kamarulzaman         FC-104   Room 2   Parallel Session II

Takamasa Akiyama                  IT-001   Room 3   Parallel Session I
Takeshi Furuhashi                 RW-204   Room 5   Parallel Session VI
Taufik Djatna                     HF-002   Room 1   Parallel Session I
Tom Matthe                        FT-102   Room 4   Parallel Session V

Victor Romero                     OS-412   Room 1   Parallel Session V
Victor Romero                     OS-422   Room 1   Parallel Session VI
Vilem Novak                       OS-221   Room 3   Parallel Session VI
Vladimir Akopov                   CI-103   Room 4   Parallel Session II
     Authors Index
Xue-ping Wang        OS-223   Room 3   Parallel Session VI

Yao-Chu Hsueh        FC-102   Room 2   Parallel Session II
Yoichi Yamazaki      RW-101   Room 4   Parallel Session III
Yukinobu Hoshino     CI-202   Room 5   Parallel Session V
       All About Surabaya
                   "Jer Basuki Mawa Bea" are the words emblazoning the emblem of East Java.
                   Translated. they mean that achievments are only won through sacrifice. This is
                   certainly an appropriate motto, especially for the people of Surabaya. the 'City of
                   Heroes'. whose history of struggle against foreign invaders is well known.
                   Surabaya is the commercial and administrative capital of East Java, a thriving
                   business and industrial centre and the province's main port. Second only to
                   Jakarta in size and importance, the city has a population of around 2.5 million
residents. From the port area of Tanjung Perak ferries leave regularly for Madura, and air services to
and from Surabaya's Juanda Airport connect the city with Jakarta, Yogyakarta, Bali and other parts of

Surabaya is a progressive capital undergoing rapid change. Former negative reports about the city
from foreign visitors are thus clearly unwarranted today. In fact, Surabaya now enjoys the reputation
as being the cleanest city in Indonesia, equipped with every modern facility and offering a standard
of accommodation to suit every taste and budget. Places of interest for the tourist require Kalimas
harbour and Kampung Arab in the old part of town, the Mpu Tantular Museum, as well as one of the
largest zoos in south east Asia.

Surabaya is located at the centre of the northern coast of East Java Province, bounded to the north
and east by the Java sea, the district of Gresik in the west, and by the district of the Sidoarjo in the
south. The topography is mainly flat at about 3-6m above sea level, but in the west, two low ridges
from west to east have an elevation of about 20-30m above sea level. The lower hill slopes have
tended to be occupied by low income groups because of the low cost of site development. The high
ground has become popular for high income group settlement, now that there are good access road
and water supply.

The tropical climate has two main identifiable seasons. The dry season generally lasts from May to
October, and the wet or rainy season from November up to April. The heaviest rains normally occur
between December and January. wind velocity normally ranes from 3 to 20 knots and is relatively
constant throughout the year. The mean annual rainfall is 1,321 mm, and the highest monthly mean
rainfall is about 260 mm, usually in January. The lowest temperature, usually in February, is about
25.5 celcius and the highest temperature is 33.0 celcius in October. The average annual temperature
is 27.8 celcius.

Surabayas dominant roles, both national and regional, have changed little since it emerged as a
major administrative and trading centre of the East Indies in the early 18th century. The
development of urban Surabaya since this time has therefore been related to study growth to meet
increasing demand, rather than any change in role or function. Since the governments 1960s city
policy, Surabaya has functioned as an industrial, commercial, maritime, education and government
city. This multi-function policy has required Surabaya to provide land for industrial areas and
infrastructure support facilities.

Commercial trading in Surabaya has an important role for the development of Eastern Indonesia,
and especially for East Java. The primary trade activities covering the large area from the port in the
north to the city center is wholesale trading of products.
Objects and Attractive Tour
Hero's Museum
                                                   The tragedy on 10th November 1945 and
                                                   another historical episode, made Surabaya well
                                                   known as the Heroes City. It is one of the reason
                                                   it was built. Although there are many military
                                                   statues in and around Surabaya, this one is
                                                   certainly the imposing. The heroes monument
                                                   stands like a rocket pointed towards the moon,
                                                   in Taman Kebonrojo at the opposite of the East
                                                   Java Governor's Office, Pahlawan street Central
                                                   Surabaya. It's not omate or even decorative, not
                                                   particulary large, but its simplicity may have
                                                   been the delibrate plan of its architect to
convey humble, rather than bellicose pride. The monument becomes a centre of major attention
every November 10th, the day in 1945 when Surabaya com-memorates those heroes who died
during the independence war.

Submarine Monument

                                                     The real KRI Pasopati submarine and one of the
                                                     Indonesian Navy submarine fleet of East
                                                     Indonesian area was placed here as a
                                                     monument. KRI Pasopati is the SS type Whisky
                                                     Class made at Vladi Rusia on 1952 was also
                                                     active in the national yurisdiction like Trikrora
                                                     operation. This monument was built on 1995 at
                                                     Pemuda str Central Surabaya which relatively
                                                     still in a complete section like torpedo room,
                                                     sailor lounge, combat information room, sailor
                                                     loune room, diesel engine room and other
                                                     equipment. There are also a lot of facilities
around the submarine like Swarga Park, Water Tour, Stage, Monumnet videorama, Restaurant, Art
Shop etc. It has a wide parking area, open daily on Monday - Friday from 08.00 am up to 08.00 pm
and on Saturady or Sunday from 08.00 am up to 10.00 am.
Jalesveva Jayamahe Monument
                                              Jalesveva Jayamahe monument which is located
                                              at the northside of Surabaya, expose a Naval
                                              Admiral complete with all the ceremonial dress,
                                              looking and stand up to the sea upon a modern
                                              and architectural building with the 60,6 m high.
                                              Through this monument the Indonesian nation
                                              would like to show that the next generation
                                              would always be prepared in a fully faith and
                                              sureness to conquer all the nation storm in
                                              reaching the hope and target.

More Information about

Surabaya Tourism:

Culinary Information:
        With best compliment




                     UNIVERSITAS INDONESIA





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