Cross-efficiency evaluation with directional distance functions
Cross-efficiency evaluation with directional distance functions
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DOI：
10.1016/j.ejor.2013.01.030
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
José L. Ruiz
中科院分区：
文献类型：
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作者：
José L. Ruiz
本文扩展了交叉效率的评价与方向距离函数。交叉效率评价已经开发面向数据包络分析（DEA）模型，所以这里提出的扩展是为了提供一个同行评价的决策单元（DMU）的基础上的措施，占效率低下的投入和产出同时。我们探讨了方向距离函数模型的对偶关系，并在与某些分式规划问题等价的基础上定义了交叉效率。最后，我们在这个新的背景下解决的问题与替代最优的权重，并提出了一些模型，实现不同的替代次要目标。
This paper extends the cross-efficiency evaluation for use with directional distance functions. Cross-efficiency evaluation has been developed with oriented Data Envelopment Analysis (DEA) models, so the extension proposed here is aimed at providing a peer-evaluation of decision making units (DMUs) based on measures that account for the inefficiency both in inputs and in outputs simultaneously. We explore the duality relations regarding the models of directional distance functions and define the cross-efficiencies on the basis of the equivalences with some fractional programming problems. Finally, we address in this new context the problem with the alternate optima for the weights and propose some models that implement different alternative secondary goals.