A new approach to fuzzy controller designing and coding via genetic algorithms
Ignacio Rojas, Juan Julián Merelo, J. L. Bernier, A. Prieto · 2002
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.