An Effective Supply Chain Performance Prediction Method And Its Application
This article sets up a supply chain performance prediction model based on rough sets and support vector regression machine (SVR) from knowledge discovery and data mining perspective, according to a supply chain performance prediction example, firstly reduces its index based on the balanced scorecard system, then inputs the reduction index to SVR for training, Finally, inputs the forecast sample to the model and gets supply chain performance predictive value. The forecast result is matched with the actual result.
CHEN Dongdong
Economic Management College, Sichuan Agricultural University, Yaan, P.R. China 625014
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
651-654
2009-10-20(万方平台首次上网日期,不代表论文的发表时间)