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dc.contributor.authorHorng, YJen_US
dc.contributor.authorChen, SMen_US
dc.date.accessioned2014-12-08T15:46:56Z-
dc.date.available2014-12-08T15:46:56Z-
dc.date.issued1999-02-01en_US
dc.identifier.issn1083-4419en_US
dc.identifier.urihttp://dx.doi.org/10.1109/3477.740173en_US
dc.identifier.urihttp://hdl.handle.net/11536/31541-
dc.description.abstractIn this paper, we extend the works of [2] and [4] to present a new method for finding the inheritance hierarchies in fuzzy-valued concept-networks, where the relevant values (degrees of generalization or degrees of similarity) between concepts in a fuzzy-valued concept network are represented by fuzzy numbers. The proposed method is more flexible than the ones presented in [2] and [4] due to the fact that it allows the grades of similarity and the grades of generalization between concepts to be represented by fuzzy numbers rather than crisp real values between zero and one or interval values in [0, 1].en_US
dc.language.isoen_USen_US
dc.subjectfuzzy numbersen_US
dc.subjectfuzzy-valued concept-networksen_US
dc.subjectinheritance hierarchiesen_US
dc.subjectsynonymous conceptsen_US
dc.titleFinding inheritance hierarchies in fuzzy-valued concept-networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/3477.740173en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICSen_US
dc.citation.volume29en_US
dc.citation.issue1en_US
dc.citation.spage126en_US
dc.citation.epage135en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000078094200013-
dc.citation.woscount3-
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