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Determining multiple attribute weights consistent with pairwise preference orders

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dc.contributor.authorAhn, Byeong Seok-
dc.contributor.authorHan, Chang Hee-
dc.date.available2020-06-24T06:20:09Z-
dc.date.issued2005-05-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40989-
dc.description.abstractThis paper presents a method for determining multiple attribute weights when pairwise comparison judgments on alternatives are specified and attribute consequences are captured in imprecise ways. A decision-maker or expert can express holistic pairwise comparisons on alternatives from his/her domain knowledge and decision alternatives are characterized by some tangible or possibly some intangible multiple attributes of which consequences can be represented by imprecise information. In this paper, attribute weights are to be estimated in the direction of minimizing the amount of violations and thus to be as consistent as possible with a decision-maker's ordered pairs. Multiple attribute weights that were determined with pairwise judgments on a subset of alternatives can be used to prioritize the other remaining alternatives. © Springer-Verlag Berlin Heidelberg 2005.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.titleDetermining multiple attribute weights consistent with pairwise preference orders-
dc.typeArticle-
dc.identifier.bibliographicCitationLecture Notes in Computer Science, v.3483, no.IV, pp 360 - 367-
dc.description.isOpenAccessN-
dc.identifier.wosid000229637900039-
dc.identifier.scopusid2-s2.0-24944498992-
dc.citation.endPage367-
dc.citation.numberIV-
dc.citation.startPage360-
dc.citation.titleLecture Notes in Computer Science-
dc.citation.volume3483-
dc.type.docTypeConference Paper-
dc.publisher.location독일-
dc.subject.keywordAuthorImprecise information-
dc.subject.keywordAuthorMultiattribute decision making-
dc.subject.keywordAuthorPreference order-
dc.subject.keywordAuthorWeight estimation-
dc.subject.keywordPlusDecision making-
dc.subject.keywordPlusInformation analysis-
dc.subject.keywordPlusKnowledge acquisition-
dc.subject.keywordPlusOptimization-
dc.subject.keywordPlusImprecise information-
dc.subject.keywordPlusMultiattribute decision making-
dc.subject.keywordPlusPreference order-
dc.subject.keywordPlusWeight estimation-
dc.subject.keywordPlusUnits of measurement-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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경영경제대학 (경영학부(서울))
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