Data Processing in Project Supply Chain Vendor Selection Based on Improved Entropy Weight - Grey Correlation - TOPSIS

Qiu Qin Lu; Qiao Zhao

doi:10.4028/www.scientific.net/AMR.1046.545

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1046Data Processing in Project Supply Chain Vendor...

Data Processing in Project Supply Chain Vendor Selection Based on Improved Entropy Weight - Grey Correlation - TOPSIS

Abstract:

On the basis of the establishment of evaluation index system, an improved entropy weight – grey correlation – TOPSIS model is put forward to select project supply chain vendor, and process the related data. The each index weight is obtained from subjective weighting method and objective entropy method. The positive and negative distance between each evaluation object and ideal solution is calculated, and the grey correlation grade between each evaluation object and ideal solution is obtained. Then the relative closeness of each evaluation object can be gained that we can select the best vendor according to it.

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Periodical:

Advanced Materials Research (Volume 1046)

Pages:

545-549

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1046.545

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Online since:

October 2014

Authors:

Qiu Qin Lu, Qiao Zhao*

Keywords:

Entropy Weight, Grey Correlation, Project Supply Chain, TOPSIS, Vendor Selection

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* - Corresponding Author

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