Genetic algorithm-based fuzzy expert system

被引：4

作者：

Basal, GP ^{[1
]}

Verma, B

Tiwari, AK

Chande, PK

机构：

[1] Samrat Ashok Technol Inst, Dept Comp Sci & Engn, Vidisha 464001, India

[2] Maulana Azad Coll Technol, Dept Comp Sci & Engn, Bhopal 462007, India

[3] SGS Inst Technol & Sci, Indore 452003, Madhya Pradesh, India

来源：

IETE TECHNICAL REVIEW | 2002年 / 19卷 / 03期

关键词：

D O I：

10.1080/02564602.2002.11417019

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper fuzzy system is discussed in which the membership function shapes and types and the fuzzy rule set Including the number of rules inside It are evolved using a genetic algorithm. In addition, the genetic operators are adapted by a fuzzy system. Benefits of the methodology are illustrated in the process of alarm handling in process plant.

引用

页码：111 / 118

页数：8

共 5 条

[1]

[Anonymous], 1989, GENETIC ALGORITHM SE

[2] SIMULTANEOUS DESIGN OF MEMBERSHIP FUNCTIONS AND RULE SETS FOR FUZZY CONTROLLERS USING GENETIC ALGORITHMS [J].

HOMAIFAR, A ;

MCCORMICK, E .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1995, 3 (02) :129-139

[3]

OGARD O, 1988, P IFAC WORKSH CLYN S, P33

[4] Implementation of evolutionary fuzzy systems [J].

Shi, YH ;

Eberhart, R ;

Chen, YB .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (02) :109-119

[5]

WANG CH, 1998, IEEE T EVOLUTIONARY, V2, P138

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