Determination of fuzzy logic membership functions using genetic algorithms

被引：125

作者：

Arslan, A ^{[1
]}

Kaya, M ^{[1
]}

机构：

[1] Firat Univ, Fac Engn, Dept Comp Engn, TR-23279 Elazig, Turkey

来源：

FUZZY SETS AND SYSTEMS | 2001年 / 118卷 / 02期

关键词：

genetic algorithms; membership functions; optimization;

D O I：

10.1016/S0165-0114(99)00065-2

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Genetic algorithm (GA) is an adaptive search technique based on natural selection and genetic rules. GA takes place in various scientific applications and it can be also used to determine the membership functions in a fuzzy system. The aim of the study is to adjust the shape of membership functions and a novice aspect of the study is to determine the kind of membership functions. Proposed method has been implemented using a developed GA program for a single input and output fuzzy system. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：297 / 306

页数：10