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   ranking efficient dmus using the variation coefficient of weights in dea  
نویسنده ziari mojtaba ,ziari shokrollah
منبع iranian journal of optimization - 2016 - دوره : 8 - شماره : 1 - صفحه:9 -16
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 inputsoutputs 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.
کلیدواژه data envelopment analysis (dea) ,ranking ,extreme efficient ,coefficient of variation
آدرس islamic azad university, firoozkooh branch, young researchers and elite club, iran, islamic azad university, firoozkooh branch, department of mathematics, iran
پست الکترونیکی shok_ziari@yahoo.com

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