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dc.contributor.authorMahdiloo, Mahdi
dc.contributor.authorNoorizadeh, Abdollah
dc.contributor.authorFarzipoorSaen, Reza
dc.date.accessioned2017-05-03T16:04:59Z
dc.date.available2017-05-03T16:04:59Z
dc.date.issued2013
dc.date.modified2014-04-02T04:48:30Z
dc.identifier.issn14680394
dc.identifier.doi10.1111/exsy.12011
dc.identifier.urihttp://hdl.handle.net/10072/57762
dc.description.abstractData envelopment analysis (DEA) is a mathematical programming technique that is frequently used for measuring and benchmarking efficiency of the homogenous decision-making units (DMUs). This paper proposes a new use of DEA for customers scoring and particularly their direct mailing modelling. Moreover, because DEA models suffer from some weaknesses, that is, unrealistic weighting scheme of the inputs and outputs and incomplete ranking among efficient DMUs, the present paper compares different ways of solving these problems and concludes that common set of weights method, as a result of some advantages, outperforms other procedures.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto9
dc.relation.ispartofjournalExpert Systems
dc.rights.retentionY
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchCognitive Sciences
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode1702
dc.titleOptimal direct mailing modelling based on data envelopment analysis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2013
gro.hasfulltextNo Full Text
gro.griffith.authorMahdiloo, Mahdi


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