Optimization Method of Fuzzy System Based on Genetic Algorithm
Currently, there is an increasing interest to genetic fuzzy systems with its learning and optimizing capabilities. The performance of a genetic fuzzy system is most depended on the ability of finding the best optimized rule-set and the precision of fuzzy variable definition. In this paper, a new method of optimization learning and modifying for genetic fuzzy system and the arithmetic is introduced, and the performance of the method is displayed.
keywords-fuzzy logic generic algorithm structure design system optimation
Cheng Fei
Management College Hangzhou Dianzi University Hangzhou 310018, China
国际会议
成都
英文
367-371
2010-07-09（万方平台首次上网日期，不代表论文的发表时间）