A Comprehensive Evaluation Method Based on Weighted Gray Correlation Analysis and DEA

摘要

A comprehensive method called weighted gray correlation analysis method based on DEA (Data Envelopment Analysis) is presented. It integrates favorable aspects of both DEA and gray correlation analysis, and takes the latter as a central 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. This method can avoid the subjectivity when the weight vector is determined and get the optimality of the prior order evaluation by non-uniform weight. Finally, an example of urban public transport system assessment in China is given to prove the validity of the method.