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http://dx.doi.org/10.3745/KIPSTB.2003.10B.7.757

Weighted Fuzzy Reasoning Using Weighted Fuzzy Pr/T Nets  

Cho, Sang-Yeop (청운대학교 인터넷컴퓨터학과)
Publication Information
The KIPS Transactions:PartB / v.10B, no.7, 2003 , pp. 757-768 More about this Journal
Abstract
This paper proposes a weighted fuzzy reasoning algorithm for rule-based systems based on weighted fuzzy Pr/T nets, where the certainty factors of the fuzzy production rules, the truth values of the predicates appearing in the rules and the weights representing the importance of the predicates are represented by the fuzzy numbers. The proposed algorithm is more flexible and much closer to human intuition and reasoning than other methods : $\circled1$ calculate the certainty factors using by the simple min and max operations based on the only certainty factors of the fuzzy production rules without the weights of the predicates[10] : $\circled2$ evaluate the belief of the fuzzy production rules using by the belief evaluation functions according to fuzzy concepts in the fuzzy rules without the weights of the predicates[12], because this algorithm uses the weights representing the importance of the predicates in the fuzzy production rules.
Keywords
Fuzzy Production Rules; Weighted Fuzzy Reasoning Algorithms; Weighted Fuzzy Pr/T Nets; Fuzzy Numbers;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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