Supply Chain Risk Evaluation Model in Fuzzy Environment

In this paper, we analyzed the classification of supply chain risk (SCR), and put forward its index systems on the basis of its many results. According to its characteristics, we established the general assessment model of SCR in fuzzy environment. Then, we proposed its improved model by the fuzzy information measurement system with the interpretation and synthetic effect. Finally, we specified numerical example to analyze the model, the results indicate that the method is not only accommodates the existing fuzzy decision-making methods, but also successfully incorporates the decision preference into the optimization process. Therefore, the fuzzy analysis technique can be widely used in many fields of fuzzy risk assessment.