Ranking efficient DMUs using the variation coefficient of weights in DEA

Iranian Journal of Optimization

مقاله 2، دوره 8، شماره 1، شهریور 2016، صفحه 9-16   

نوع مقاله: Research Paper

نویسندگان

Mojtaba Ziari^{* 1}؛ Shokrollah Ziari²

¹Member of young researchers and elite club, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran

²Department of Mathematics, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran

چکیده

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.

کلیدواژه‌ها

Data Envelopment Analysis (DEA)؛ Ranking؛ Extreme efficient؛ Coefficient of variation

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