Ranking efficient DMUs using the variation coefficient of weights in DEA

2016/02/22 by Mojtaba Ziari, Ziari, Mojtaba, Shokrollah Ziari +1
Decision Sciences · #Efficiency Analysis Using DEA #Multi-Criteria Decision Making

paper · doi:10.82521/ijo.2016.1018626

openalex publication_date 2016/02/22 · openalex created_date 2017/02/17 · openalex updated_date 2026/07/07

Abstract

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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