A note on some of data envelopment analysis models and finding efficiency and complete ranking using common set of weights

A note on some of data envelopment analysis models and finding efficiency and complete ranking using common set of weights

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Article ID: iaor2007996
Country: Netherlands
Volume: 166
Issue: 2
Start Page Number: 265
End Page Number: 281
Publication Date: Jul 2005
Journal: Applied Mathematics and Computation
Authors: , , ,
Keywords: programming: multiple criteria
Abstract:

Efficiency evaluation in Data Envelopment Analysis (DEA) depends on different factors. The most important factors are the values of input and output. In this paper, we present an alternative proof that, if one component of output or input vectors of a DMU dominates the corresponding component of other DMUs whatever the value of other components of this DMU may be, then that DMU is efficient in some of the DEA models. An important outcome of such an analysis is a set of virtual multipliers or weights accorded to each factor taken into account. These sets of weights are, typically, different for each of the participating DMUs. In this paper, by means of solving only one problem, we can determine common set of weights (CSW) for all DMUs and their efficiencies. Finally, a method for ranking DMUs is presented. In this method, solving only two problems, efficient DMUs are ranked.

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