Vague reasoning and knowledge representation using extended fuzzy Petri nets

dc.citation.epage	408	en_US
dc.citation.issue	2	en_US
dc.citation.spage	391	en_US
dc.citation.volume	14	en_US
dc.citation.woscount	1
dc.contributor.author	Chen, SM	en_US
dc.contributor.author	Shiau, YS	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.date.accessioned	2014-12-08T15:49:02Z
dc.date.available	2014-12-08T15:49:02Z
dc.date.issued	1998-06-01	en_US
dc.description.abstract	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.	en_US
dc.identifier.issn	1016-2364	en_US
dc.identifier.journal	JOURNAL OF INFORMATION SCIENCE AND ENGINEERING	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/32591
dc.identifier.wosnumber	WOS:000074370600005
dc.language.iso	en_US	en_US
dc.subject	extended fuzzy Petri net	en_US
dc.subject	fuzzy Petri net	en_US
dc.subject	fuzzy production rule	en_US
dc.subject	knowledge representation	en_US
dc.subject	rule-based system	en_US
dc.subject	vague set	en_US
dc.subject	vague value	en_US
dc.title	Vague reasoning and knowledge representation using extended fuzzy Petri nets	en_US
dc.type	Article	en_US

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