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dc.contributor.authorSaen, Reza Farzipooren_US
dc.date.accessioned2017-05-03T15:46:47Z
dc.date.available2017-05-03T15:46:47Z
dc.date.issued2009en_US
dc.date.modified2010-10-06T06:56:31Z
dc.identifier.issn02683768en_US
dc.identifier.doi10.1007/s00170-008-1514-5en_AU
dc.identifier.urihttp://hdl.handle.net/10072/34414
dc.description.abstractTechnology selection is an important part of management of technology. Traditionally, technology selection models are based on cardinal data with less emphasis on ordinal data. However, with respect to technology selection complexity, emphasis has shifted to the simultaneous consideration of cardinal and ordinal data in technology selection process. The application of data envelopment analysis (DEA) for technology selection problems is based on total flexibility of the weights. However, the problem of allowing total flexibility of the weights is that the values of the weights obtained by solving the unrestricted DEA program are often in contradiction to prior views or additional available information. On the other hand, current models of technology selection problems assume complete discretion of decision-making criteria and do not assume technology selection in the conditions that some factors are nondiscretionary. To select the best technologies in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, the objective of this paper is to propose a new pair of assurance region-nondiscretionary factors-imprecise data envelopment analysis (AR-NF-IDEA) models. A numerical example demonstrates the application of the proposed method.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent154143 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeUSAen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom827en_US
dc.relation.ispartofpageto838en_US
dc.relation.ispartofissue7-8en_US
dc.relation.ispartofjournalInternational Journal of Advanced Manufacturing Technologyen_US
dc.relation.ispartofvolume41en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchCommerce, Management, Tourism and Services not elsewhere classifieden_US
dc.subject.fieldofresearchcode159999en_US
dc.titleTechnology Selection in the Presence of Imprecise Data, Weight Restrictions, and Nondiscretionary Factorsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2009 Springer London. This is an electronic version of an article published in The International Journal of Advanced Manufacturing Technology Volume 41, Issue 7-8, 2009, 827-838. The International Journal of Advanced Manufacturing Technology is available online at: http://www.informaworld.com/smpp/ with the open URL of your article.en_AU
gro.date.issued2009
gro.hasfulltextFull Text


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