Abstract
This paper applies evolutionstrategies to evaluate a class of flexiblefuzzycontrollers. Various components in fuzzycontrollers, including generalized T-norms, soft T-norm, BADD defuzzification and scaling factors are investigated. Simulations are carried out on linear and nonlinear systems and some interesting conclusions are obtained. These conclusions are further explained with an application example of vehicle control. It is hoped that they will be helpful for design of fuzzycontrollers with better control performance