Multiple bi-class SVMs are used together to obtain the final decision when the support vector machine(SVM) is applied to multi-class classification problems. The conventional methods of applying the SVM to multiple classification tasks are all based on the hard output of SVM, which can bring the loss of information to some extent. Therefore, a multi-class SVM based on an evidential reasoning based multiple attribute decision approach is proposed to use more information. The multi-class classification problem is modelled as a multi-criteria decision making problem. Then a fuzzycautious OWA(ordered weighted averaging) approach with evidential reasoning(FCOWA-ER) is used to implement multiclass classification and obtain the final decision. The simulation results show that the method proposed has better accuracy compared with conventional methods.