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dc.contributor.authorSaen, Reza Farzipooren_US
dc.date.accessioned2017-04-24T13:21:01Z
dc.date.available2017-04-24T13:21:01Z
dc.date.issued2010en_US
dc.date.modified2010-10-20T07:00:13Z
dc.identifier.issn19918178en_US
dc.identifier.urihttp://hdl.handle.net/10072/34075
dc.description.abstractTo select the best suppliers in the presence of both cardinal and ordinal data and considering weight restrictions, this paper proposes a method, which is based on Assurance Region- Imprecise Data Envelopment Analysis (AR-IDEA). A numerical example demonstrates the application of the proposed method.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent191836 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherINSInet Publicationen_US
dc.publisher.placePakistanen_US
dc.publisher.urihttp://www.insipub.com/ajbas.htmlen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom3053en_US
dc.relation.ispartofpageto3067en_US
dc.relation.ispartofissue8en_US
dc.relation.ispartofjournalAustralian Journal of Basic and Applied Sciencesen_US
dc.relation.ispartofvolume4en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchCommerce, Management, Tourism and Services not elsewhere classifieden_US
dc.subject.fieldofresearchcode159999en_US
dc.titleThe Use of AR-IDEA Approach for Supplier Selection Problemsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2010 INSInet. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_AU
gro.date.issued2010
gro.hasfulltextFull Text


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