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Improved DEA models for measuring interval efficiencies of decision-making units

机译：改进的DEA模型，用于测量决策单位的间隔效率

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摘要

In a recent paper by Wang and Yang (2007) [6], a pair of bounded data envelopment analysis (DEA) models were proposed to measure the overall performances of a group of decision-making units (DMUs), which were characterized by interval efficiencies. In this paper, we show by a numerical example that the bounded DEA models are incapable of determining an efficiency interval for any DMU when there is a zero value for each output. A pair of improved bounded DEA models is thus proposed to overcome the drawback. Another example involving performance measurement of countries participating in the Athens 2004 Summer Olympic Games is presented to show that the proposed approach is an effective and practical method for performance analysis in real world situations.
机译：在Wang和Yang（2007）的最新论文[6]中，提出了一对有界数据包络分析（DEA）模型来衡量一组决策单元（DMU）的总体绩效，其特征在于区间效率。在本文中，我们通过一个数值示例表明，当每个输出都为零时，有界DEA模型无法确定任何DMU的效率间隔。因此，提出了一对改进的有界DEA模型来克服该缺点。给出了另一个涉及对参加2004年雅典夏季奥运会的国家进行绩效评估的示例，以表明所提出的方法是在现实世界中进行绩效分析的有效方法。

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