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A new approach to handling fuzzy decision-making problems

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1 Author(s)
Shyi-Ming Chen ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

New techniques for handling fuzzy decision-making problems are introduced. Fuzzy production rules and fuzzy set theory are used for knowledge representation. In a classical production rule, the rule is executed if the pattern of its antecedent portion Di perfectly matches the pattern of a set M of manifestations. However, in a fuzzy production rule, the rule is executed if the degree of matching is not less than a certain matching threshold value. By using a vector representation method, the antecedent portion of the fuzzy production rule and the set of manifestations can be represented by vectors of values and features, respectively. Then, a matching function can be used to measure the degree of similarity between the vectors, and the strength of confirmation calculation method can be used on the consequence di caused by M. An efficient algorithm to generate the maximum fuzzy cover of M to help the decision-maker make his decisions is proposed

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:18 ,  Issue: 6 )