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Interval-valued Fuzzy Set Reasoning Using Fuzzy Petri Nets  

조경달 (이젠시스템)
조상엽 (청운대학교 인터넷컴퓨터학과)
Publication Information
Journal of KIISE:Software and Applications / v.31, no.5, 2004 , pp. 625-631 More about this Journal
Abstract
In general, the certainty factors of the fuzzy production rules and the certainty factors of fuzzy Propositions appearing in the rules are represented by real values between zero and one. If it can allow the certainty factors of the fuzzy production rules and the certainty factors of fuzzy propositions to be represented by interval-valued fuzzy sets, then it can allow the reasoning of rule-based systems to perform fuzzy reasoning in more flexible manner(15). This paper presents a fuzzy Petri nets and proposes an interval-valued fuzzy reasoning algorithm for rule-based systems based on fuzzy Petri nets. Fuzzy Petri nets model the fuzzy production rules in the knowledge base of a rule-based system, where the certainty factors of the fuzzy Propositions appearing in the furry production rules and the certainty factors of the rules are represented by interval-valued fuzzy sets. The proposed interval-valued fuzzy set reasoning algorithm can allow the rule-based systems to perform fuzzy reasoning in a more flexible manner.
Keywords
Fuzzy Petri Nets; Fuzzy Reasoning; Interval-valued Fuzzy Sets;
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Times Cited By KSCI : 1  (Citation Analysis)
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