A fuzzy reasoning approach for rule-based systems based on fuzzy logics

Author

Chen, Shyi-Ming

Author_Institution

Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

26

Issue

5

fYear

1996

fDate

10/1/1996 12:00:00 AM

Firstpage

769

Lastpage

778

Abstract

This paper presents a weighted fuzzy reasoning algorithm for rule-based systems based on weighted fuzzy logics. The proposed algorithm allows the truth values of the conditions appearing in the antecedent portions of the rules, the certainty factors of the rules, and the weights of the conditions appearing in the antecedent portions of the rules to be represented by trapezoidal fuzzy numbers. Given the fuzzy truth values of some conditions, the algorithm can perform weighted fuzzy reasoning to evaluate the fuzzy truth values of other conditions automatically

Keywords

fuzzy logic; inference mechanisms; knowledge based systems; certainty factors; fuzzy logics; fuzzy reasoning approach; fuzzy truth values; rule-based systems; trapezoidal fuzzy numbers; truth values; weighted fuzzy logics; weighted fuzzy reasoning; weighted fuzzy reasoning algorithm; Control systems; Councils; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Information science; Knowledge based systems; Performance evaluation; Production; Uncertainty;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.537318

Filename

537318