ranking efficient dmus using the variation coefficient of weights in dea

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.