RELIABILITY EVALUATION OF SUPPLY CHAIN MEMBER ENTERPRISES BASED ON SVRM AND ROUGH SET
There have been many researches on reliability of supply chain, though few of them concern reliability evaluation of member enterprise. This paper brings forward a new method based on rough set and support vector regression machine to evaluate the reliability of supply chain member enterprise. Rough set is used to cut the redundant indexes, ascertain the main attributes relative to reliability, thus to reduce the complexity of analysis and support vector regression machine is used to find out the nonlinear relationships between reliability and main attributes. At last, the method is illustrated through examples and compared with artificial neural network method. The comparing results show that this method is more precise and efficient than the BPNN method. These advantages imply that the new method can provide a promising solution to reliability evaluation.
reliability evaluation supply chain management support vector regression machine rough set.
Zhu Chen Tang Shoulian Song Ming Che Cheng
School of Economics & Management, Beijing University of Posts and Telecommunications
国际会议
北京
英文
2007-11-01（万方平台首次上网日期，不代表论文的发表时间）