ROBUST FUZZY INFERENCE

被引：5

作者：

EZAWA, Y ^{[1
]}

KANDEL, A ^{[1
]}

机构：

[1] FLORIDA STATE UNIV,DEPT COMP SCI,TALLAHASSEE,FL 32306

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 1991年 / 6卷 / 02期

关键词：

D O I：

10.1002/int.4550060206

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The concept of monotone fuzzy implication is introduced, and the necessary and sufficient conditions of the homomorphic fuzzy modus ponens and the homomorphic fuzzy modus tollens are made clear for general fuzzy implications which include nonnormal and discrete fuzzy sets. Then, we investigate the n-ary fuzzy inference schema that deduce the reasonable consequences with respect to the homomorphism criteria.

引用

页码：185 / 197

页数：13

共 9 条

[1]

BANDLER W, 1984, CYBERNET SYST, V2, P581

[2]

EZAWA Y, 1987, 2 INT FUZZ SYST ASS, P290

[3]

EZAWA Y, 1985, 1ST IFSA C

[4]

EZAWA Y, 1983, FUZZY INFORMATION KN, P243

[5]

LEECH MZ, 1984, FUZZY RELATIONAL DAT

[6]

LIU YM, 1987, FUZZY SET SYST, V21, P43, DOI 10.1016/0165-0114(87)90151-5

[7] COMPARISON OF FUZZY-REASONING METHODS [J].

MIZUMOTO, M ;

ZIMMERMANN, HJ .

FUZZY SETS AND SYSTEMS, 1982, 8 (03) :253-283

[8] THE ROLE OF FUZZY-LOGIC IN THE MANAGEMENT OF UNCERTAINTY IN EXPERT SYSTEMS [J].

ZADEH, LA .

FUZZY SETS AND SYSTEMS, 1983, 11 (03) :199-227

[9]

ZADEH LA, 1972, J CYBERNETICS, V1, P4

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