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Goal-Programming-Based Procedure for Calculating Positive Multipliers Under a Multiple Criteria Data Envelopment Analysis Framework: An Application to UEFA EURO 2012

机译:多目标数据包络分析框架下基于目标程序的正乘数计算方法:在UEFA EURO 2012中的应用

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摘要

One of the motivations for the arise of the multiple criteria data envelopment analysis (MCDEA) model was the need to yield more reasonable input-output multipliers than those derived from standard data envelopment analysis (DEA), without using priori information. The problem of unreasonable multipliers occurs when some production units are efficient in standard DEA simply because the optimization problem allows those units to select few inputs/outputs to attach positive multipliers, discarding all of the others. Notwithstanding, MCDEA may fail in providing multipliers schemes free of non-null values. Therefore, in this paper, we propose an alternative procedure, based on goal programming, for calculating positive multipliers within a MCDEA framework. This procedure is applied to a previously reported problem, concerning the performance evaluation of national teams that participated in the 2012 UEFA European Football Championship (UEFA EURO 2012), where the MCDEA model has not succeeded in providing strictly positive multipliers schemes. The results derived by the proposed procedure indicate that, to assure non-null multipliers, it is necessary a mild detachment of non-dominated solutions.
机译:多标准数据包络分析(MCDEA)模型产生的动机之一是,需要产生比从标准数据包络分析(DEA)得出的输入输出乘数更合理的输入-输出乘数,而无需使用先验信息。当某些生产单元在标准DEA中有效时,就会出现乘数不合理的问题,这仅仅是因为优化问题使这些单元只能选择很少的输入/输出来附加正乘数,而丢弃所有其他乘数。尽管如此,MCDEA可能无法提供不含非空值的乘法器方案。因此,在本文中,我们提出了一种基于目标规划的替代方法,用于计算MCDEA框架内的正乘数。此程序应用于先前报告的问题,该问题涉及参加2012年UEFA欧洲足球锦标赛(UEFA EURO 2012)的国家队的绩效评估,而MCDEA模型未能成功提供严格的正乘数方案。拟议程序得出的结果表明,为确保非零乘数,必须温和地分离非支配溶液。

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