Weighted gray correlation analysis model based on DEA and its application to highway network evaluation

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.