Safety Assessment in Power Supply Enterprise Based on Rough Set and Support Vector Machine

Considering safety assessment indexes of power supply enterprise are considerable, an hybrid model based on rough sets (RS) and support vector machine(SVM) is proposed: rough sets, as a anterior preprocessor of SVM, can find out the kernel factors influencing the safety of power supply enterprise by means of attribute reduction algorithm, and then, using them as the input vectors of SVM, the safety assessment is conducted. Experiment results compared with traditional SVM model show that the training rapidity and accuracy of the RS-SVM model are both evidently improved.