A learning process for fuzzy control rules using genetic algorithms

被引：113

作者：

Herrera, F ^{[1
]}

Lozano, M ^{[1
]}

Verdegay, JL ^{[1
]}

机构：

[1] Univ Granada, ETS Ingn Informat, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

来源：

FUZZY SETS AND SYSTEMS | 1998年 / 100卷 / 1-3期

关键词：

fuzzy logic control systems; learning; genetic algorithms;

D O I：

10.1016/S0165-0114(97)00043-2

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The purpose of this paper is to present a genetic learning process for learning fuzzy control rules from examples. It is developed in three stages: the first one is a fuzzy rule genetic generating process based on a rule learning iterative approach, the second one combines two kinds of rules, experts rules if there are and the previously generated fuzzy control rules, removing the redundant fuzzy rules, and the third one is a tuning process for adjusting the membership functions of the fuzzy rules. The three components of the learning process are developed formulating suitable genetic algorithms. (C) 1998 Elsevier Science B.V. All rights reserved.

引用

页码：143 / 158

页数：16

共 32 条

[1]

[Anonymous], EUROPEAN C MACHINE L, DOI DOI 10.1007/3-540-56602-3_142

[2]

[Anonymous], GENETIC ALGORITHMS E

[3]

[Anonymous], 1978, PATTERN DIRECTED INF

[4]

[Anonymous], INT J UNCERTAIN FUZZ

[5]

Baker J. E., 1987, P 2 INT C GEN ALG, P14, DOI DOI 10.1007/S10489-006-0018-Y

[6]

BOLATA F, 1995, PROCEEDINGS OF 1995 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I-IV, P1089, DOI 10.1109/FUZZY.1995.409819

[7] Evolving fuzzy rule based controllers using genetic algorithms [J].

Carse, B ;

Fogarty, TC ;

Munro, A .

FUZZY SETS AND SYSTEMS, 1996, 80 (03) :273-293

[8]

COOPER MG, 1994, PROCEEDINGS OF THE THIRD IEEE CONFERENCE ON FUZZY SYSTEMS - IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, VOLS I-III, P1332, DOI 10.1109/FUZZY.1994.343619

[9]

CORDON O, 1995, DECSAI95129 U GRAN D

[10]

CORDON O, IN PRESS FUZZY SETS

← 1 2 3 4 →