AUTONOMOUS AND DETERMINISTIC SUPERVISED FUZZY CLUSTERING by ProQuest

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									      AUTONOMOUS AND DETERMINISTIC
          SUPERVISED FUZZY CLUSTERING
                 Kian Ming Lim, Chu Kiong Loo, Way Soong Lim∗




Abstract: A fuzzy model based on an enhanced supervised fuzzy clustering al-
gorithm is presented in this paper. The supervised fuzzy clustering algorithm [6]
allows each rule to represent more than one output with different probabilities for
each output. This algorithm implements k-means to initialize the fuzzy model.
However, the main drawbacks of this approach are that the
								
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