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dc.contributor.authorChen, SMen_US
dc.contributor.authorShiau, YSen_US
dc.date.accessioned2014-12-08T15:49:02Z-
dc.date.available2014-12-08T15:49:02Z-
dc.date.issued1998-06-01en_US
dc.identifier.issn1016-2364en_US
dc.identifier.urihttp://hdl.handle.net/11536/32591-
dc.description.abstractIn 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.language.isoen_USen_US
dc.subjectextended fuzzy Petri neten_US
dc.subjectfuzzy Petri neten_US
dc.subjectfuzzy production ruleen_US
dc.subjectknowledge representationen_US
dc.subjectrule-based systemen_US
dc.subjectvague seten_US
dc.subjectvague valueen_US
dc.titleVague reasoning and knowledge representation using extended fuzzy Petri netsen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF INFORMATION SCIENCE AND ENGINEERINGen_US
dc.citation.volume14en_US
dc.citation.issue2en_US
dc.citation.spage391en_US
dc.citation.epage408en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000074370600005-
dc.citation.woscount1-
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