Combined Prediction Model for Supply Risk in Nuclear Power Equipment Manufacturing Industry Based on Support Vector Machine and Decision Tree

The prediction index for supply risk is developed based on the factor identifying of nuclear equipment manufacturing industry.The supply risk prediction model is established with the method of support vector machine and decision tree,based on the investigation on 3 important nuclear power equipment manufacturing enterprises and 60 suppliers.Final case study demonstrates that the combination model is better than the single prediction model,and demonstrates the feasibility and reliability of this model,which provides a method to evaluate the suppliers and measure the supply risk.