Genetic algorithms for the elimination o
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J. Zhao; R. Gorez; V. Wertz
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Article
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1996
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Elsevier Science
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English
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Takagi-Sugeno fuzzy models may contain redundant rules. The use of genetic algorithms for optimizing a performance index, which combines a modelling error and the number of rules in the model, allows the elimination of redundant rules and a subsequent adjustment of the weights of the rules retained