Backward Reasoning in Fuzzy Petri - net Representation for Fuzzy Production Rules


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 4, pp. 951-958, Apr. 1998
10.3745/KIPSTE.1998.5.4.951,   PDF Download:

Abstract

In this paper, we propose a backward reasoning algorithm which can be utilized in the fuzzy Petri-net representation representing fuzzy production rules. The fuzzy Petri-net representation can be used to model a approximate reasoning system and implement a fuzzy inference engine. The proposed algorithm, which uses the proper belief evaluation functions according to fuzzy concepts in antecedentes and consequents of fuzzy production rules, is more closer to human intuition and reasoning than other methods. This algorithm generate the backward reasoning path from the goal to the initial nodes and evaluates the belief value of the goal node using belief evaluation functions.


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Cite this article
[IEEE Style]
C. S. Yeop, "Backward Reasoning in Fuzzy Petri - net Representation for Fuzzy Production Rules," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 4, pp. 951-958, 1998. DOI: 10.3745/KIPSTE.1998.5.4.951.

[ACM Style]
Cho Sang Yeop. 1998. Backward Reasoning in Fuzzy Petri - net Representation for Fuzzy Production Rules. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 4, (1998), 951-958. DOI: 10.3745/KIPSTE.1998.5.4.951.