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dc.contributor.authorFan, Yuliangen_US
dc.contributor.authorNguyen, Anneen_US
dc.contributor.editorAngappa Gunasekaranen_US
dc.date.accessioned2017-05-03T11:42:00Z
dc.date.available2017-05-03T11:42:00Z
dc.date.issued2011en_US
dc.date.modified2012-03-09T05:29:54Z
dc.identifier.issn17457645en_US
dc.identifier.doi10.1504/IJOR.2011.041346en_US
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherInderscienceen_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom316en_US
dc.relation.ispartofpageto330en_US
dc.relation.ispartofissue3en_US
dc.relation.ispartofjournalInternational Journal of Operational Researchen_US
dc.relation.ispartofvolume11en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchAnalysis of Algorithms and Complexityen_US
dc.subject.fieldofresearchApplied Mathematics not elsewhere classifieden_US
dc.subject.fieldofresearchDecision Support and Group Support Systemsen_US
dc.subject.fieldofresearchcode080201en_US
dc.subject.fieldofresearchcode010299en_US
dc.subject.fieldofresearchcode080605en_US
dc.titleA novel belief function reasoning approach to MCDM under uncertaintyen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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