Representing fuzzy knowledge using extended fuzzy Petri nets

1993 (2nd) International Symposium on Uncertainty Modeling and AnalysisPublished 30 December 2002

S.-M. Chen

DOI10.1109/isuma.1993.366746

Citations6

TL;DR

A knowledge representation technique for representing fuzzy knowledge using extended fuzzy Petri nets, where the uncertainty factors of the fuzzy production rules in a rule-based system and the truth values of the propositions appearing in the rules are represented by fuzzy numbers.

Abstract

The authors presents a knowledge representation technique for representing fuzzy knowledge using extended fuzzy Petri nets. Here the uncertainty factors of the fuzzy production rules in a rule-based system and the truth values in a rule-based system and the truth values of the propositions appearing in the rules are represented by fuzzy numbers. The fuzzy reasoning process presented by S. M. Chen (1992) also can be modeled by the extended fuzzy Petri nets. An example is used to illustrate the fuzzy reasoning process using extended fuzzy Petri nets.>

Keywords

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