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dc.contributor.authorFan, Yuliang
dc.contributor.authorNguyen, Anne
dc.contributor.editorAngappa Gunasekaran
dc.date.accessioned2017-05-03T11:42:00Z
dc.date.available2017-05-03T11:42:00Z
dc.date.issued2011
dc.date.modified2012-03-09T05:29:54Z
dc.identifier.issn17457645
dc.identifier.doi10.1504/IJOR.2011.041346
dc.identifier.urihttp://hdl.handle.net/10072/43494
dc.description.abstractThis paper presents a novel belief function reasoning approach to the multiple criteria decision-making problem under uncertainty. In contrast to exist approaches, which make decisions based on the expected utility values derived directly from the combined belief function distributions, we introduce an alternative two-level reasoning transferable belief model approach to the aggregation and decision-making phases. Within this framework, the analyst can combine the beliefs regarding various sub-criteria at the credal level, and calculate the expected utility values for decision making at the pignistic level based on real probability distributions. We also propose a measure of uncertainty to capture the degrees of total uncertainty involved in different belief assessments. This measure can assist the decision maker in making rational decisions based on incomplete information.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherInderscience
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom316
dc.relation.ispartofpageto330
dc.relation.ispartofissue3
dc.relation.ispartofjournalInternational Journal of Operational Research
dc.relation.ispartofvolume11
dc.rights.retentionY
dc.subject.fieldofresearchAnalysis of Algorithms and Complexity
dc.subject.fieldofresearchApplied Mathematics not elsewhere classified
dc.subject.fieldofresearchDecision Support and Group Support Systems
dc.subject.fieldofresearchApplied Mathematics
dc.subject.fieldofresearchNumerical and Computational Mathematics
dc.subject.fieldofresearchBusiness and Management
dc.subject.fieldofresearchcode080201
dc.subject.fieldofresearchcode010299
dc.subject.fieldofresearchcode080605
dc.subject.fieldofresearchcode0102
dc.subject.fieldofresearchcode0103
dc.subject.fieldofresearchcode1503
dc.titleA novel belief function reasoning approach to MCDM under uncertainty
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.date.issued2011
gro.hasfulltextNo Full Text
gro.griffith.authorNguyen, Anne T.
gro.griffith.authorFan, Yuliang


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