Restoring consistency in systems of fuzzy gradual rules using similarity relations

被引：0

作者：

Drummond, I ^{[1
]}

Godo, L

Sandri, S

机构：

[1] INPE, LAC, BR-12201970 Sao Jose Dos Campos, Brazil

[2] CSIC, IIIA, Bellaterra 08193, Spain

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2002年 / 2507卷

关键词：

fuzzy rule-based systems; gradual rules; inconsistency; similarity;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present here a method that uses similarity relations to restore consistency in fuzzy gradual rules systems: we propose to transform potentially inconsistent rules by making their consequents more imprecise. Using a suitable similarity relation we obtain consistent rules with a minimum of extra imprecision. We also present an application to illustrate the approach.

引用

页码：386 / 396

页数：11

共 12 条

[1]

Bien Z., 1994, J INTELL FUZZY SYST, V2, P147, DOI 10.3233/IFS-1994-2204

[2]

Driankov D, 1996, INTRO FUZZY CONTROL

[3] What are fuzzy rules and how to use them [J].

Dubois, D ;

Prade, H .

FUZZY SETS AND SYSTEMS, 1996, 84 (02) :169-185

[4] Checking the coherence and redundancy of fuzzy knowledge bases [J].

Dubois, D ;

Prade, H ;

Ughetto, L .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1997, 5 (03) :398-417

[5]

Dubois D, 1996, FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, P1858, DOI 10.1109/FUZZY.1996.552680

[6]

GODO L, 2002, P IPMU 2002 ANN FR, P1655

[7]

GOTTWALD S, 1995, P EUFIT 95 AACH GERM, P28

[8]

PEDRYCZ W, 1998, INTRO FUZZY SETS ANA

[9] Compatibility of systems of fuzzy relation equations [J].

Perfilieva, I ;

Tonis, A .

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2000, 29 (04) :511-528

[10] FUZZY IDENTIFICATION OF SYSTEMS AND ITS APPLICATIONS TO MODELING AND CONTROL [J].

TAKAGI, T ;

SUGENO, M .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1985, 15 (01) :116-132

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