Application of Rough Set-SVM Model in the Performance Evaluation of Supply Chain

The paper achieved the application of rough set-SVM model in the prediction of supply chain performance evaluation. Firstly, the paper rejected redundant factors and extracted key factors by use of rough set theory; then, safe class of supply chain performance evaluation was gained based on the key factors which have achieved with the method of SVM (support vector machines). In the end, result of practical example by conducting forecasting with the help of combined model of rough set-SVM was compared with the outcome of using SVM only, shows that rough set-SVM model has higher prediction accuracy, and is consistent with the practice, and it is a scientific and feasible method.