Third Logistics Supplier Selection Based on Rough Sets and BP neural network

摘要：

In order to identify third logistics suppliers and select appropriate suppliers, a supplier identification model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network. In the model, supplier performance decision table was designed, the heuristic attribute reduction algorithm based on discernable matrix was put forward, and the reduction of evaluation indicator system was finished. On this basis, BP algorithm was designed and BP intelligent neural network was established. Thereafter, the application of the model for the supplier identification was demonstrated through an illustrative example, the appropriate supplier is selected. Thus, the supplier identification model based on rough sets and BP neural network is feasible.

关键词： Third Logistics Supplier selection Model Rough Sets BP Neural Network Discernable Matriz

作者: Cheng-dong Shi Dun-xin Bian

作者单位: School of Electrical and Electronic Engineering Shandong University of Technology Zibo,Shandong,2550 School of Electrical and Electronic Engineering Shandong University of Technology Zibo,Shandong,2550

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 342-346

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）