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dc.contributor.authorFan, Tuan-Fangen_US
dc.contributor.authorLiu, Duen-Renen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:13:18Z-
dc.date.available2014-12-08T15:13:18Z-
dc.date.issued2007-10-01en_US
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.ejor.2006.08.029en_US
dc.identifier.urihttp://hdl.handle.net/11536/10281-
dc.description.abstractIn this paper, we propose some decision logic languages for rule representation in rough set-based multicriteria analysis. The semantic models of these logics are data tables, each of which is comprised of a finite set of objects described by a finite set of criteria/attributes. The domains of the criteria may have ordinal properties expressing preference scales, while the domains of the attributes may not. The validity, support, and confidence of a rule are defined via its satisfaction in the data table. (c) 2006 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectrough setsen_US
dc.subjectfuzzy setsen_US
dc.subjectdecision logicen_US
dc.subjectmulticriteria decision analysisen_US
dc.subjectartificial intelligenceen_US
dc.titleRough set-based logics for multicriteria decision analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ejor.2006.08.029en_US
dc.identifier.journalEUROPEAN JOURNAL OF OPERATIONAL RESEARCHen_US
dc.citation.volume182en_US
dc.citation.issue1en_US
dc.citation.spage340en_US
dc.citation.epage355en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000246406000022-
dc.citation.woscount25-
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