数据包络分析中具有区间目标水平的因素

Mengni Zhang, Mengying Zhang
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引用次数: 0

摘要

现实中广泛存在着具有区间目标水平的各种因素。与传统的DEA不同,这些因素需要达到区间目标水平,以获得更好的性能。本文对dmu能够达到所有目标水平的情况进行了补充。在前人研究的基础上,建立了新的生产可能性集和模型,利用区间目标因子对dmu进行了测度。本文具有很大的决策和应用优势。首先,本文提出了一种解决具有区间针对性因素的决策单元问题的方法。其次,区间目标水平比固定目标水平为决策者提供了更大的灵活性和包容性。第三,它们适用于许多领域,如教育和资源配置。决策者可以利用我们对区间目标水平的研究,在实践中制定合理的目标。用图表和例子来说明我们的思想。
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The factors with interval target levels in data envelopment analysis
In reality, there widely exist kinds of factors that have interval target levels. Differing from traditional DEA, the factors are demanded to achieve the interval target levels for better performance. The paper gives a supplement to the situation that all target levels are able to be reached by DMUs. Furthermore, we measure the DMUs with interval-targeted factors though formulating new production possibility sets and models based on previous papers. This paper has great advantages in decision-making and applications. Firstly, the paper offers an approach to solve the problems that DMUs with interval-targeted factors. Secondly, interval target levels offer decision makers much more flexibility and inclusiveness than fixed target levels. Thirdly, they are applicable to many areas, such as education and resource allocation. Decision makers can use our studies on interval target levels to develop reasonable goals in practice. Graphs and examples are given to illustrate our thought.
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