ranking efficient dmus using the variation coefficient of weights in dea
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abstract
one of the difficulties of data envelopment analysis(dea) is the problem of de ciency discriminationamong efficient decision making units(dmus) and hence, yielding large number of dmus as efficientones. the main purpose of this paper is to overcome this inability. one of the methods for rankingefficient 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 absolutedeviation of weights and then we convert the nonlinear model proposed into a linear programming form.
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1 Department of Computer, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran 2 Department of Mathematics, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran Manaf Sharifzadeh1 and Shokrollah Ziari 2* Iranian Journal of Optimization Volume 8, Issue 2, 2016, 79-86 Research Paper Islamic Azad University Rasht Branch E-ISSN:2008-5427 Online version is available on: www.ijo.iaura...
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Journal title:
iranian journal of optimizationجلد ۸، شماره ۱، صفحات ۸۹۷-۹۰۷
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