Generalized DEA model and the convex cone constrained game

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)515-525
Journal / PublicationEuropean Journal of Operational Research
Volume126
Issue number3
StatePublished - 1 Nov 2000

Abstract

This study extends the research on relating the data envelopment analysis (DEA) with the game theory context. We propose a generalized model for the two-person zero-sum finite game with closed convex cone constraints. We prove that the strategy of the closed convex cone constrained two-person zero-sum finite game is equivalent to the solution of the corresponding cone constrained programming problem. We show the existence of an optimal strategy of closed convex cone constrained two-person zero-sum finite game. As a special case of this, we give the optimal strategy of a polyhedral constrained game. In this case, the corresponding dual programming problems are a pair of linear dual programming problems. We then build up the connection between the proposed convex cone constrained game model and the generalized DEA model. With this relationship, a more robust correspondence between game family and the DEA family is established.

Citation Format(s)

Generalized DEA model and the convex cone constrained game. / Hao, Gang; Wei, Quanling; Yan, Hong.

In: European Journal of Operational Research, Vol. 126, No. 3, 01.11.2000, p. 515-525.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review