Title :
A fuzzy reasoning approach for rule-based systems based on fuzzy logics
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
10/1/1996 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.537318
