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A Method of Assigning Weights Using a Ranking and Nonhierarchy Comparison

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dc.contributor.authorSong, B.-
dc.contributor.authorKang, S.-
dc.date.accessioned2021-09-04T08:48:35Z-
dc.date.available2021-09-04T08:48:35Z-
dc.date.created2021-06-17-
dc.date.issued2016-
dc.identifier.issn2090-3359-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/91365-
dc.description.abstractThe analytic hierarchy process (AHP) has advantages that the whole number of comparisons can be reduced via a hierarchy structure and the consistency of responses verified via a consistency ratio. However, at the same time, the AHP has disadvantages that values vary according to the form of hierarchy structure and it is difficult to maintain consistency itself among responses. If the number of comparisons can be reduced, a comparison within a single level is optimal, and if comparison can be made while the priority among entities is maintained, consistency may be automatically maintained. Thus, in this study, we propose a method of assigning weights, which applies hierarchy structure of AHP and pairwise comparison but complements the disadvantages of AHP. This method has advantages that the number of comparisons can be reduced and also consistency is automatically maintained via determination of priorities first on multiple entities and subsequent comparisons between entities with adjoined priorities. © 2016 Bangweon Song and Seokjoong Kang.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherHindawi Publishing Corporation-
dc.titleA Method of Assigning Weights Using a Ranking and Nonhierarchy Comparison-
dc.typeArticle-
dc.contributor.affiliatedAuthorKang, S.-
dc.identifier.doi10.1155/2016/8963214-
dc.identifier.scopusid2-s2.0-84973293304-
dc.identifier.bibliographicCitationAdvances in Decision Sciences, v.2016-
dc.relation.isPartOfAdvances in Decision Sciences-
dc.citation.titleAdvances in Decision Sciences-
dc.citation.volume2016-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorranking-
dc.subject.keywordAuthornonhierarchy comparison-
dc.subject.keywordAuthorAHP-
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