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In the determination of the most efficient decision making unit in data envelopment analysis: A comment

机译:在确定数据包络分析中最有效的决策单位时:

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In order to deal with finding the most efficient unit problem, Lam (2015) recently built a new integrated mixed integer linear programming model which is nearly close to the super-efficiency model. The suggested model involves a non-Archimedean epsilon as the lower bound for the input and output weights. Selecting a suitable value for epsilon is a challenging issue in DEA (Data Envelopment Analysis). Lam (2015) suggested a value for epsilon which guarantees the feasibility of his model; however, this paper illustrates that the model may fail to find the most efficient unit due to unsuitable selected value for epsilon. To cope with this issue, a new model is formulated which provides the maximum epsilon value for the model of Lam (2015). The built model guarantees that when epsilon is maximum, then Lam's model gives exactly one DMU (Decision Making Unit) as the most efficient unit with the maximum discrimination distance from the other DMUs.
机译:为了应对最有效的单位问题,Lam(2015)最近建立了一个新的集成混合整数线性规划模型,该模型几乎与超效率模型相近。建议的模型将非阿基米德ε作为输入和输出权重的下限。选择适合的ε值是DEA(数据包络分析)中一个具有挑战性的问题。 Lam(2015)提出了ε值,该值可以保证其模型的可行性。但是,本文说明,由于ε的选择值不合适,该模型可能无法找到最有效的单位。为了解决这个问题,制定了一个新模型,该模型为Lam(2015)模型提供了最大的ε值。建立的模型可以保证当ε最大化时,Lam的模型将精确地给出一个DMU(决策制定单位)作为最有效的单位,并且与其他DMU的区别距离最大。

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