Learning fuzzy cognitive maps with required precision using genetic algorithm approach

被引：25

作者：

Stach, W ^{[1
]}

Kurgan, L ^{[1
]}

Pedrycz, W ^{[1
]}

Reformat, M ^{[1
]}

机构：

[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada

来源：

ELECTRONICS LETTERS | 2004年 / 40卷 / 24期

关键词：

D O I：

10.1049/el:20047073

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：

Fuzzy cognitive maps (FCMs) are a powerful and convenient tool for describing and analysing dynamic systems. Their generic design is performed manually, exploits expert knowledge and is quite tedious, especially in the case of larger systems. This shortcoming is alleviated by completing the design of FCMs through learning carried out on experimental data. Comprehensive experiments reveal that this approach helps design models of required accuracy in an automated manner.

引用

页码：1519 / 1520

页数：2

共 9 条

[1]

Aguilar J., 2005, INT J COMPUT COGNITI, V3, P27

[2]

[Anonymous], USE INTERPRETATION F

[3] Group decision support using fuzzy cognitive maps for causal reasoning [J].

Khan, MS ;

Quaddus, M .

GROUP DECISION AND NEGOTIATION, 2004, 13 (05) :463-480

[4] FUZZY COGNITIVE MAPS [J].

KOSKO, B .

INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1986, 24 (01) :65-75

[5]

Kosko B., 1997, FUZZY ENG

[6]

Koulouriotis DE, 2001, IEEE C EVOL COMPUTAT, P364, DOI 10.1109/CEC.2001.934413

[7]

Stylios CD, 2000, J INTELL FUZZY SYST, V8, P83

[8] Modeling complex systems using fuzzy cognitive maps [J].

Stylios, CD ;

Groumpos, PP .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2004, 34 (01) :155-162

[9] Fuzzy Cognitive Maps: a model for intelligent supervisory control systems [J].

Stylios, CD ;

Groumpos, PP .

COMPUTERS IN INDUSTRY, 1999, 39 (03) :229-238

← 1 →