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dc.contributor.authorSlowinski, Roman
dc.contributor.authorVanderpooten, Daniel
dc.date.accessioned2010-01-05T11:15:12Z
dc.date.available2010-01-05T11:15:12Z
dc.date.issued2000
dc.identifier.issn1041-4347
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/2806
dc.language.isoenen
dc.subjectRough sets
dc.subjectsimilarity relation.
dc.subjectlower and upper approximations
dc.subjectambiguity
dc.subject.ddc006.3en
dc.titleA generalized definition of rough approximations based on similarity
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThis paper proposes new definitions of lower and upper approximations, which are basic concepts of the rough set theory. These definitions follow naturally from the concept of ambiguity introduced in this paper. The new definitions are compared to the classical definitions and are shown to be more general, in the sense that they are the only ones which can be used for any type of indiscernibility or similarity relation.
dc.relation.isversionofjnlnameIEEE Transactions on Knowledge and Data Engineering
dc.relation.isversionofjnlvol12
dc.relation.isversionofjnlissue2
dc.relation.isversionofjnldate2000
dc.relation.isversionofjnlpages331-336
dc.relation.isversionofdoihttp://doi.ieeecomputersociety.org/10.1109/69.842271
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherInstitute of Electrical and Electronics Engineers
dc.subject.ddclabelIntelligence artificielleen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.relation.Isversionofjnlpeerreviewedoui
dc.date.updated2016-10-06T10:01:43Z


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