Fuzzy modeling; Takagi-Sugeno models; Optimization; Evolutionary algorithms; Genetic algorithms.

This paper considers the Takagi-Sugeno fuzzy models constructed from data and shows how to optimize them using genetic algorithms. The special attention is paid to the possibility of using another evolutionary algorithms (controlled random search, evolutionary search, differential evolution and algorithms with competing heuristics) for optimizing fuzzy models.

This paper considers the Takagi-Sugeno fuzzy models constructed from data and shows how to optimize them using genetic algorithms. The special attention is paid to the possibility of using another evolutionary algorithms (controlled random search, evolutionary search, differential evolution and algorithms with competing heuristics) for optimizing fuzzy models.