Reference : Dual-Role Factors for Imprecise Data Envelopment Analysis
Scientific congresses and symposiums : Unpublished conference/Abstract
Business & economic sciences : Quantitative methods in economics & management
Dual-Role Factors for Imprecise Data Envelopment Analysis
Hatami Marbini, Adel mailto [Université de Liège - ULiège > HEC Liège : UER > Economie industrielle >]
21st Conference of the International Federation of Operational Research Societies
July 17-21, 2017
Quebec City
[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.
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