An extension on super slacks-based measure DEA approach
An extension on super slacks-based measure DEA approach
复制标题
基于超级休闲裤的测度 DEA 方法的扩展
DOI：
10.1007/s10479-017-2495-2
复制
发表时间：
2017
影响因子：
4.8
通讯作者：
Wu Huaqing
中科院分区：
文献类型：
--
作者：
Chen Ya;Li Yongjun;Liang Liang;Wu Huaqing
为了打破有效决策单元的束缚，提出了超有效数据挖掘分析方法，对有效决策单元进行充分的区分。最近，一个基于松弛的版本的超级松弛为基础的措施（S-SBM），并提出了一种新的两阶段的方法来计算超效率得分的S-SBM模型和效率得分的松弛为基础的措施模型。在本文中，我们扩展的方法来考虑连续性的效率分数。我们说明了效率测度的不连续性，并定义了一个连续的基于松弛的测度，证明了该测度是连续的并可直接计算。还提供了一个有趣的效率区类别。此外，本文还研究了可变规模收益下该方法与现有方法的超效率测度之间的关系。
In order to break the tie of efficient decision-making units, super-efficiency data envelopment analysis is proposed to fully discriminate them. Recently, a slacks-based version of the super slacks-based measure (S-SBM) is developed and a novel two-stage approach is proposed to calculate both super-efficiency score by the S-SBM model and efficiency score by the slacks-based measure model. In this paper, we extend the approach to consider continuity of efficiency scores. We illustrate the discontinuity of efficiency measure, and define a continuous slacks-based measure which is proved continuous and directly calculated. An interesting efficiency zone category is also provided. In addition, this paper investigates the relationship among the super-efficiency measures of the proposed approach and some existing approaches under variable returns to scale.