Supply Chain Network Design Based on Fuzzy Neural Network and PSO

被引：0
|
作者：
Huang, Yuansheng [1 ]
Qiu, Zilong [1 ]
Liu, Qingchao [1 ]
机构：
[1] N China Elect Power Univ, Dept Econ & Management, Baoding, Hebei Province, Peoples R China
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2008年
关键词：
Supply Chain Network Design; Uncertainty; Fuzzy Programming; Fuzzy Neural Network; PSO;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. After modeling by fuzzy programming, a fuzzy neural network optimized by particle swarm optimization is presented to solve the established model. Through an example, compared with the traditional fuzzy neural network, it is proved that the presented method has advantage in calculation efficiency.
引用
收藏
页码：2189 / 2193
页数：5
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