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dc.contributor.authorCHEN, SMen_US
dc.date.accessioned2014-12-08T15:03:26Z-
dc.date.available2014-12-08T15:03:26Z-
dc.date.issued1995-04-28en_US
dc.identifier.issn0165-0114en_US
dc.identifier.urihttp://hdl.handle.net/11536/1975-
dc.description.abstractThis paper presents a new method for cognitive-map-based decision analysis based on negative-positive-neutral (NPN) logics, where an efficient algorithm is proposed for performing interval-based inexact reasoning automatically. The algorithm performs inexact reasoning via constructing a sprouting tree. The time complexity of the proposed algorithm is O(nm), where n is the number of cognitive units in the cognitive map, m is the length of a closure path, and max(m) = 2n.en_US
dc.language.isoen_USen_US
dc.subjectCOGNITIVE MAPen_US
dc.subjectCOGNITIVE UNITen_US
dc.subjectINEXACT REASONINGen_US
dc.subjectNPN LOGICen_US
dc.subjectSPROUTING TREEen_US
dc.titleCOGNITIVE-MAP-BASED DECISION-ANALYSIS BASED ON NPN LOGICSen_US
dc.typeArticleen_US
dc.identifier.journalFUZZY SETS AND SYSTEMSen_US
dc.citation.volume71en_US
dc.citation.issue2en_US
dc.citation.spage155en_US
dc.citation.epage163en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1995QX69500001-
dc.citation.woscount9-
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