A Novel Logistics Supplier Selection Model Based on BP
Logistics supplier selection is a comprehensive appraisal influenced by many factors and the key is to choose a method of evaluation reasonably. In this paper, we use BP neural network, starting with the statistics of listed logistics supplier, to train weights of appraisement indexes in self-organization. This method overcomes the impact of the results by subjective factors that exist in the AHP and fuzzy assessment, leads evaluation results to be a relative objectivity and provides a more effective method for the selection of listed logistics supplier.
J. Q. Li "A Novel Logistics Supplier Selection Model Based on BP", Key Engineering Materials, Vols. 460-461, pp. 735-740, 2011