• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Weighted Fuzzy Backward Reasoning Using Weighted Fuzzy Petri-Nets


Cho Sang Yeop, Lee Dong En, Journal of Internet Computing and Services, Vol. 5, No. 4, pp. 115-124, Aug. 2004
Full Text:
Keywords: weighted fuzzy Petri nets, fuzzy backward reasoning, fuzzy numbers

Abstract

This paper presents a weighted fuzzy backward reasoning algorithm for rule-based systems based on weighted fuzzy Petri nets. The fuzzy production rules in the knowledge base of a rule-based system are modeled by weighted fuzzy Petri nets, where the truth values of the propositions appearing in the fuzzy production rules and the certainty factors of the rules are represented by fuzzy numbers. Furthermore, the weights of the propositions appearing in the rules are also represented by fuzzy numbers. The proposed weighted fuzzy backward reasoning generates the backward reasoning path from the goal node to the initial nodes and then evaluates the certainty factor of the goal node. The algorithm we proposed can allow the rule-based systems to perform weighted fuzzy backward reasoning in more flexible and human-like manner.


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Cite this article
[APA Style]
Yeop, C. & En, L. (2004). Weighted Fuzzy Backward Reasoning Using Weighted Fuzzy Petri-Nets. Journal of Internet Computing and Services, 5(4), 115-124.

[IEEE Style]
C. S. Yeop and L. D. En, "Weighted Fuzzy Backward Reasoning Using Weighted Fuzzy Petri-Nets," Journal of Internet Computing and Services, vol. 5, no. 4, pp. 115-124, 2004.

[ACM Style]
Cho Sang Yeop and Lee Dong En. 2004. Weighted Fuzzy Backward Reasoning Using Weighted Fuzzy Petri-Nets. Journal of Internet Computing and Services, 5, 4, (2004), 115-124.