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Matthew J. Liberatore           , Robert L. Nydick1,

This paper presents a literature review of the application of the analytic hierarchy process
(AHP) to important problems in medical and health care decision making. The literature
is classified by year of publication, health care category, journal, method of analyzing
alternatives, participants, and application type. Very few articles were published prior to
1988 and the level of activity has increased to about three articles per year since 1997.
The 50 articles reviewed were classified in seven categories: diagnosis, patient
participation, therapy/treatment, organ transplantation, project and technology evaluation
and selection, human resource planning, and health care evaluation and policy. The
largest number of articles was found in the project and technology evaluation and
selection category (14) with substantial activity in patient participation (9),
therapy/treatment (8), and health care evaluation and policy (8). The AHP appears to be a
promising support tool for shared decision making between patient and doctor, evaluation
and selection of therapies and treatments, and the evaluation of health care technologies
and policies. We expect that AHP research will continue to be an important component of
health care and medical research.


S.D. Pohekar         , M. Ramachandran

Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in
sustainable energy management. The techniques provide solutions to the problems
involving conflicting and multiple objectives. Several methods based on weighted
averages, priority setting, outranking, fuzzy principles and their combinations are
employed for energy planning decisions. A review of more than 90 published papers is
presented here to analyze the applicability of various methods discussed. A classification
on application areas and the year of application is presented to highlight the trends. It is
observed that Analytical Hierarchy Process is the most popular technique followed by
outranking techniques PROMETHEE and ELECTRE. Validation of results with multiple
methods, development of interactive decision support systems and application of fuzzy
methods to tackle uncertainties in the data is observed in the published literature.

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