Paper Title:
A Novel Logistics Supplier Selection Model Based on BP
  Abstract

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.

  Info
Periodical
Key Engineering Materials (Volumes 460-461)
Edited by
Yanwen Wu
Pages
735-740
DOI
10.4028/www.scientific.net/KEM.460-461.735
Citation
J. Q. Li, "A Novel Logistics Supplier Selection Model Based on BP", Key Engineering Materials, Vols. 460-461, pp. 735-740, 2011
Online since
January 2011
Authors
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Price
$32.00
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