Using Fuzzy Optimization Model and Hybrid Intelligent Algorithm to Solve Buyback Problem

摘要：

A buyback policy is offered buy the supplier to the downstream retailers in a supply chain. The market demand is characterized as a fuzzy variable due to its uncertainty based on credibility theory. Then it proposes a fuzzy expected value buyback problem programming model. In the end, a fuzzy hybrid intelligent algorithm is designed to solve the model proposed.

关键词： fuzzy variable hybrid intelligent algoruhm buyback problem

作者: Junyan Wang

作者单位: College of Package &Printing Engineering Tianjin University of Science & Technology Tianjin 300222, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 649-652

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）