Automatic design of fuzzy rule base for modelling and control using evolutionary programming

In designing a fuzzy model and a fuzzy controller, we encounter a major dif ficulty in the identification of an optimised fuzzy rule base, which is tra ditionally achieved by a tedious trial and error process. The paper present s an approach to automatic design of optimal fuzzy rule bases for modelling and control using evolutionary programming. Such programming simultaneousl y evolves the structure and the parameter of fuzzy rule base for a given ta sk. To check the effectiveness of the suggested approach, five examples for modelling and control are examined. The performance of the identified fuzz y models and fuzzy controllers is demonstrated.