Ranking efficient DMUs using the variation coefficient of weights in DEA
Authors
Abstract:
One of the difficulties of Data Envelopment Analysis(DEA) is the problem of deciency 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.
similar resources
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 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...
full textranking 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 pap...
full textRanking efficient DMUs using minimizing distance in DEA
In many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. Hence, there is a growing interest in ranking techniques yet. The main purpose of this paper ...
full textRanking Efficient DMUs in Two-stage Network DEA with Common Weights method
Two stages DEA models are used in many fields of management and industry. One of the concepts that has attracted the attention of researchers in the theory of production is the concept of ranking the units with a two-stage network. A unit ranking can provide useful information to decision makers (DMUs) about optimal decision making activities. This concept defines the superiority of a unit in t...
full textRanking efficient DMUs using the infinity norm and virtual inefficient DMU in DEA
In many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. Hence, there is a growing interest in ranking techniques yet. The purpose of this paper is ra...
full textRanking Efficient DMUs Using the Infinity Norm and Virtual Inefficient DMU in DEA
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...
full textMy Resources
Journal title
volume 08 issue 1
pages 9- 16
publication date 2016-06-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023