Weighted Gray Correlation Analysis Model Based on DEA and Its Application to Highway Network Evaluation

W. Nie, C. Shao
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Abstract

A new model combined weighted gray correlation analysis with DEA (data envelopment analysis) was presented in this paper. It integrates the advantages of both DEA and gray correlation analysis, and takes the latter as a central model. In the model, DEA determines the weight vector of correlation coefficients for each decision-making unit (DMU) to calculate the relatively optimal correlation degrees and then realizes the priority order of the objects to be evaluated. This method can avoid the subjectivity when the weight vector is determined and obtain the optimal results by non-uniform weight. Finally, an example of some provincial highway networks assessment in China was given to prove the validity of the model.
基于DEA的加权灰色关联分析模型及其在公路网评价中的应用
本文提出了一种将加权灰色关联分析与数据包络分析相结合的新模型。它综合了DEA和灰色关联分析的优点,并以灰色关联分析为中心模型。在该模型中,DEA确定各决策单元(DMU)的相关系数权重向量,计算出相对最优的关联度,实现待评价对象的优先级排序。该方法可以避免权重向量确定时的主观性,并通过非均匀加权获得最优结果。最后,以国内某省公路网评价为例,验证了该模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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