Rule extraction for fuzzy modeling

被引：1

作者：

Wong, CC

Lin, NS

机构：

来源：

FUZZY SETS AND SYSTEMS | 1997年 / 88卷 / 01期

关键词：

fuzzy modeling; genetic algorithms;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, a method based on genetic algorithms is proposed to automatically extract fuzzy rules to identify a system where only its input-output data are available. This method can determine a fuzzy system with fewer fuzzy rules as well as the antecedent and consequent parameters of the fuzzy rules at the same time. A nonlinear system is utilized to illustrate the efficiency of the proposed method in the rule extraction for fuzzy modeling. (C) 1997 Elsevier Science B.V.

引用

页码：23 / 30

页数：8