A new approach to fuzzy controller designing and coding via genetic algorithms

Examines the applicability of genetic algorithms to fuzzy controller optimization and presents a methodology to simultaneously design membership functions and rule sets for them. We propose a new approach to fuzzy controller coding via genetic algorithms which achieves a reduction in the number of parameters that define the membership functions, and a better understanding of the resulting system with no loss of efficiency.

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