شماره ركورد كنفرانس :
453
عنوان مقاله :
Cross Efficiency by Using Common Weights for Fuzzy Data
پديدآورندگان :
Mansouri Kaleibar M نويسنده , Daneshvar S نويسنده
كليدواژه :
Cooperative game , Cross Efficiency , Common weights , Data envelopment analysis (DEA) , Fuzzy game , Shapley value
عنوان كنفرانس :
چهارمين كنفرانس بين المللي انجمن ايران تحقيق در عمليات
چكيده فارسي :
This paper firstly revists the cross efficiency evaluation method which is an extention tool of
DEA, then analyzes the potential flawes which happens when the ultimate average cross efficiency
scores are used. In this paper, we consider the DMUs as the players in a cooperative fuzzy game,
where the characteristic function values of coalitions are defined to compute the Shapley value of each
DMU with fuzzy data, and the common weights associate with the imputation of the Shapley values
are used to determine the ultimate cross efficiency scores. In this paper cross efficiency defined with
fuzzy data for solving fuzzy parameters problems
شماره مدرك كنفرانس :
1891451