The Research into Crisis Early Warning of Supply Chain Quality Based on Rough Set&Feature Weighted Support Vector Machine

摘要：

A RS-FWSVM model is presented by means of combining RS (Rough Set) with FWSVM (Feature Weighted Support Vector Machine) theory. Application process of this model to the crisis early warning of SCQ is researched, which can help enable chain enterprises to identify crises in the process of operations and to predict possible crises.

作者: Rui QIANG Xiu-lian HU Li-xia LU

作者单位: Management Science and Engineering, Fuzhou University, Fujian, China

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 1309-1312

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）