Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11256
Title: A game theoretical model of DEA efficiency
Authors: Hao, G
Wei, QL
Yan, H 
Keywords: Convex cone
Data envelopment analysis
Game theory
Issue Date: Nov-2000
Publisher: Palgrave Macmillan
Source: Journal of the Operational Research Society, Nov 2000, v. 51, no. 11, p. 1319-1329 How to cite?
Journal: Journal of the Operational Research Society 
Abstract: Motivated by the inherent competitive nature of the DEA efficiency assessment process, some effort has been made to relate DEA models to game theory. Game theory is considered not only a more natural source of representing competitive situations, but also beneficial in revealing additional insights into practical efficiency analysis. Past studies are limited to connecting efficiency games to some particular versions of DEA models. The generalised DEA model considered in this study unifies various important DEA models and presents a basic formulation for the DEA family. By introducing a generalised convex cone constrained efficiency game model in assembling the generalised DEA model, a rigorous connection between game theory and the DEA family is established. We prove the existence of optimal strategies in the generalised efficiency game. We show the equivalence between game efficiency and DEA efficiency. We also provide convex programming models for determination of the optimal strategies of the proposed games, and show that the game efficiency unit corresponds to the non-dominated solution in its corresponding multi-objective programming problem. Our study largely extends the latest developments in this area. The significance of such an extension is for research and applications of both game theory and DEA.
URI: http://hdl.handle.net/10397/11256
ISSN: 0160-5682
EISSN: 1476-9360
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