The Application Research On Credit Rating Of Logistics Enterprises Based On The Multilevel Fuzzy Comprehensive Evaluation Model

Along with the rapid development of global economy and the fast growth of e-commerce, modern logistics enterprises are trying to follow the rapid development.The financial crisis in 2008 pushed the credit of enterprises at priority status, logistics enterprises as a member of the service sector is need more attention to credit. Because of the grievous deficiency of credit phenomenon in our country’s logistics industry,the credit rating of logistics enterprises is the precondition of the well progress of enterprises.For making the credit rating of enterprises more comprehensive, the article adds some representative indexes which have the characteristics of logistics enterprises.This article selects some listed logistics companies as samples, combining analytic hierarchy process(AHP) and entropy weight method to determine the index weight to make the index weight more objective, then through the Multilevel Fuzzy Comprehensive Evaluation Model to evaluate the credit rating of logistics enterprise.At last, through select a public logistics company to do the empirical analysis to verify the scientificalness and effectiveness of the model.Can be seen from the final ratings, credit rating scores can not only reflect the level of enterprise’s current credit rating, also can reflect the current market value of enterprise.