JISE

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Journal of Information Science and Engineering, Vol. 14 No. 2, pp. 391-408

Vague Reasoning and Knowledge Representation Using Extended Fuzzy Petri Nets

Shyi-Ming Chen and Yuh-Shin Shiau
Department of Computer and Information Science
National Chiao Tung University
Hsinchu, Taiwan 300, R.O.C.

In this paper, we present an extended fuzzy Petri net model (EFPN) for modeling fuzzy IF-THEN rules and fuzzy IF-THEN-ELSE rules of a rule-based system, where the truth values of the propositions appearing in the rules are represented by vague values in [0, 1]. An efficient algorithm is also proposed to perform vague reasoning automatically. This vague reasoning capability allows computers to perform reasoning in a more flexible and more intelligent manner.

Keywords: extended fuzzy Petri net, fuzzy Petri net, fuzzy production rule, knowledge representation, rule-based system, vague set, vague value

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