Abstract: In the paper, a ranking method is presented for decision-making units. Based on the classical C²R model, a new ranking model is obtained by introducing a virtual decision-making. According to the value of relative efficiency, all decision-making units can be ranked. Experiments show that the ranking method can reflect the computational result of C²R model better. Moreover,it can’t make the value of relative efficiency too large like the super-efficiency method. Not only does the method provide a sufficient basis, but it is very simple. It is deserved to note that it has embodied the systemic efficiency.

Key words: data envelopment analysis, rank, decision-making unit, virtue, efficient unit

摘要： 本文给出了一种新的决策单元排序方法。基于经典的C²R模型,通过引入一个虚拟的决策单元,形成了一个新的排序模型,按照相对效率值的大小实现了决策单元的排序。实验表明,新排序方法不仅能较好地反映C²R模型的计算结果,而且可避免超效率方法造成的相对效率值偏大的弊端。新的排序方法依据充分、简单方便,同时体现了整体的决策效率。

关键词: 数据包络分析, 排序, 决策单元, 虚拟, 有效单元