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RESOURCE ALLOCATION AND TARGET SETTING IN INTERVAL DATA ENVELOPMENT ANALYSIS

机译:间隔数据包络分析中的资源分配和目标设置

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Data envelopment analysis (DEA) is a commonly used non-parametric technique for performance measurement of decision making units (DMU) that can also be used in normatively in activity planning, resource allocation and target setting. Whereas earlier work in this line have considered completely defined data, prospective use of DEA in activity planning often involves uncertainty with respect to the feasible ranges for allocation of resources and target settings. In this paper, we present an imprecise DEA-based method with interval inputs and outputs as to address this shortcoming. The proposed model corresponds to reasonable managerial objectives concerning the technical efficiency of the subordinate units after implementing resource allocation and target setting.
机译:数据包络分析(DEA)是一种常用的非参数技术,用于决策单位(DMU)的绩效评估,也可用于活动计划,资源分配和目标设定中。尽管此行的早期工作已经考虑了完全定义的数据,但是在活动计划中对DEA的预期使用通常会涉及到分配资源和目标设置的可行范围方面的不确定性。在本文中,我们提出了一种具有间隔输入和输出的不精确的基于DEA的方法,以解决此缺点。在实施资源分配和目标设定后,所提出的模型符合有关下级单位技术效率的合理管理目标。

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