A self-generating method for fuzzy system design
In this paper, a self-generating method based on genetic algorithms is proposed to automatically construct a fuzzy system. A parameter structure of fuzzy system is presented along with a fuzzy set elimination method, which enables the self-generating method not only to determine an appropriate fuzzy system with a high performance but also to favor the selected system with fewer fuzzy rules. An inverted pendulum control and a system modeling problem are utilized respectively to illustrate the efficiency of the proposed method in the fuzzy system design. (C) 1999 Elsevier Science B.V. All rights reserved.
fuzzy system design genetic algorithms