Fuzzy Rule Generation Based on Genetic Algorithm
Wenyuan Liu, Xiao Chun-jing · Jisuanji fangzhen · 2005
Fuzzy control is one of import research areas in artificial intelligence, which has been widely applied to many aspects. Fuzzy rule is the core of intelligent system, so the research on automatic generation of fuzzy rule attracts many researchers. Genetic algorithm (GA) is a calculation model simulating the theory of natural choose and biological evolution of Darwin. It is a kind of combinatorial optimized algorithm possessing parallel character, stochastic and adaptive character. This paper proposes a way of generating automatically fuzzy rule by using genetic algorithm,by which the appropriate rules can be obtained because of unitary optimizing ability, and it is a pressing and feasible means which can be seen from the result of simulation.