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On the Consistency of Slacks-based Measure-max Model and Super-slacks-based Measure Model

机译:基于松弛的度量最大模型和基于超松弛的度量模型的一致性

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Slacks-based measure (SBM) (Tone [1]), Pastor et al. [2]) has been widely utilized as a representative non-radial DEA model. However, this model, called SBM-Min here, evaluates the efficiency of an inefficient DMU referring to the furthest frontier point within a range. In contrast, the SBM-Max model looks for the nearest frontier point and hence its score is generally greater than the SBM-Min score. The Super-SBM model (Tone [3]) evaluates the efficiency of an efficient DMU referring to the nearest point on the frontier except itself. We can foresee a close connection between SBM-Max and Super-SBM models, because the motivations behind the two models are same. In this paper we demonstrate this consistency using a real dataset.
机译:基于松弛的量度(SBM)(Tone [1]),Pastor等。 [2])已被广泛用作代表性的非径向DEA模型。但是,此模型在此处称为SBM-Min,它根据范围内最远的边界点来评估低效率DMU的效率。相反,SBM-Max模型寻找最接近的边界点,因此其得分通常大于SBM-Min得分。 Super-SBM模型(音调[3])参考除自身以外的边界上最近的点来评估有效DMU的效率。我们可以预见SBM-Max和Super-SBM模型之间的紧密联系,因为这两个模型背后的动机是相同的。在本文中,我们使用真实数据集演示了这种一致性。

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