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One DEA ranking method based on applying aggregate units
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DOI：10.1016/j.eswa.2011.02.145.png)
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摘要
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Data envelopment analysis (DEA) initiated in 1978 by Charnes, Cooper and Rhodes (henceforth CCR model) is a powerful mathematical tool to evaluate the relative efficiency of DMUs (Decision Making Units). In these last decades, the DEA as a powerful approach has been very popular into different contexts, but despite its popularity, it cannot provide adequate information in its initial framework to discriminate between all efficient DMUs. So lately, invention of and pay attention to different approaches to mitigate and eliminate this flaw has been very significant. In this paper a ranking method is revealed based on investigating some effects relative to deletion of an efficient DMU on another efficient ones. To this end, some artificial units called aggregate units are defined. Moreover, two numerical examples illustrate how the proposed method works in actual practices in comparison with some other conventional ranking methods. (C) 2011 Published by Elsevier Ltd.
Keyword:
Data envelopment analysis (DEA)
Aggregate units
Efficiency
Ranking
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7.5
论文数:
2.9W
被引数:
10.2W
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The super-efficiency procedure for outlier identification, not for ranking efficient units用于异常值识别的超效率程序，而不是用于对有效单位进行排名
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