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Dual-Role Factors for Imprecise Data Envelopment Analysis
Hatami Marbini, Adel
201721st Conference of the International Federation of Operational Research Societies
 

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Abstract :
[en] In conventional data envelopment analysis (DEA), the observed inputs, outputs and dual-factors are assumed to be precise. However, we often observe imprecise and ambiguous data in practice. In this paper, we present an imprecise DEA model in the presence of dual-role factors to deal with the imprecise data. The resulting models are the mixed binary integer programming models that supply the best possible relative efficiencies from the optimistic and pessimistic viewpoints. After some theoretical discussions, the proposed models are illustrated with a numerical example.
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Hatami Marbini, Adel ;  Université de Liège - ULiège > HEC Liège : UER > Economie industrielle
Language :
English
Title :
Dual-Role Factors for Imprecise Data Envelopment Analysis
Publication date :
17 July 2017
Event name :
21st Conference of the International Federation of Operational Research Societies
Event place :
Quebec City, Canada
Event date :
July 17-21, 2017
Audience :
International
Available on ORBi :
since 26 October 2017

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