Looking for the Best Defuzzification Method Features for each Implication Operator to Design Accurate Fuzzy Models
نویسندگان
چکیده
This paper deals with the problem of looking for the set of defuzzification method features allowing us to generate the most accurate fuzzy models in combination with each fuzzy implication operator. Hence, we try to find fuzzy inference engines that are appropriate from the practical engineering point of view. To do so, the three basic properties for fuzzy implication operators presented in [Cor00] will be considered to classify the former operators in different groups according to the verification of them. Each of the resulting groups will be analysed and the different features of the defuzzifiers allowing accurate fuzzy models to be obtained in combination with any fuzzy implication operator of the group will be shown.
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