Ranking efficient DMUs using the variation coefficient of weights in DEA
الموضوعات :
Mojtaba Ziari
1
(Member of young researchers and elite club, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran)
Shokrollah Ziari
2
(Department of Mathematics, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran)
الکلمات المفتاحية: Data Envelopment Analysis (DEA), Ranking, Extreme efficient, Coefficient of variation,
ملخص المقالة :
One of the difficulties of Data Envelopment Analysis(DEA) is the problem of de_ciency discrimination among efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient DMUs is minimizing the Coefficient of Variation (CV) for inputs-outputs weights. In this paper, it is introduced a nonlinear model for ranking efficient DMUs based on the minimizing the mean absolute deviation of weights and then we convert the nonlinear model proposed into a linear programming form.
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