Dual-role factors for imprecise data envelopment analysis

Date

2017-07

Advisors

Journal Title

Journal ISSN

ISSN

DOI

Volume Title

Publisher

International Federation of Operational Research Societies (IFORS)

Type

Conference

Peer reviewed

Yes

Abstract

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.

Description

Keywords

data envelopment analysis

Citation

Hatami-Marbini, A. (2017) Dual-role factors for imprecise data envelopment analysis. 21st International Federation of Operational Research Societies (IFORS), July 17-21,2017, Quebec City, Canada.

Rights

Research Institute

Centre for Enterprise and Innovation (CEI)