Graduated Value Model of Supply Chain Management Based on Fuzzy Theory and Multi-classes Support Vector Machine

To problem of the supply chain managementpsilas graduated value, this paper brings a new model based on fuzzy theory and multi-classes support vector machines. The fuzzy theory was used to reduce the expertpsilas subjective effect. The multi-classes support vector machine was used to improve the precision of the supply chain managementpsilas graduated value. The paper used the data of twenty logistics enterprises in China to test the model. The experimental results demonstrate that the new model based on fuzzy theory and multi-classes support vector machines has better precision than AHP method and fuzzy method. It is proved that the new model is a more feasible method.