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This paper reviews the literature on the ranking of data envelopment analysis (DEA) in order to increase the discrimination power of this analytical technique. The methods covered by this review are organized into 10 categories based on their structure, and they include those approaches published up to 2016. The paper then describes the advantages and disadvantages of each approach. Many of the numerous...
The conventional optimistic data envelopment analysis (DEA) model typically evaluates decision-making units (DMUs) using the best relative efficiency that is derived from the estimated efficient production frontier, while the pessimistic DEA model evaluates the DMUs according to the estimated inefficient production frontier. Although the results of these models vary significantly, both approaches...
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