Notes on classifying inputs and outputs in data envelopment analysis: a comment

dc.contributor.authorToloo, Mehdi
dc.date.accessioned2014-05-20T08:44:58Z
dc.date.available2014-05-20T08:44:58Z
dc.date.issued2014
dc.description.abstractCook and Zhu (2007) introduced an innovative method to deal with flexible measures. Toloo (2009) found a computational problem in their approach and tackled this issue. Amirteimoori and Emrouznejad (2012) claimed that both Cook and Zhu (2007) and Toloo (2009) models overestimate the efficiency. In this response, we prove that their claim is incorrect and there is no overestimate in these approaches.cs
dc.description.firstpage810cs
dc.description.issue3cs
dc.description.lastpage812cs
dc.description.sourceWeb of Sciencecs
dc.description.volume235cs
dc.identifier.citationEuropean Journal of Operational Research. 2014, vol. 235, issue 3, p. 810-812.cs
dc.identifier.doi10.1016/j.ejor.2014.01.010
dc.identifier.issn0377-2217
dc.identifier.issn1872-6860
dc.identifier.urihttp://hdl.handle.net/10084/101853
dc.identifier.wos000332999500029
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesEuropean Journal of Operational Researchcs
dc.relation.urihttp://dx.doi.org/10.1016/j.ejor.2014.01.010cs
dc.rightsCopyright © 2014 Elsevier B.V. All rights reserved.cs
dc.subjectdata envelopment analysiscs
dc.subjectflexible measurescs
dc.subjectclassifier modelscs
dc.titleNotes on classifying inputs and outputs in data envelopment analysis: a commentcs
dc.typearticlecs
dc.type.statusPeer-reviewedcs

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