Supply Chain Finance Credit Risk Evaluation Based On Trapezoid Fuzzy Number

Supply chain finance is a new thing in recent years. It regards enterprises insupply chain as one instead of controlling single enterprise’s risk and see the coreenterprise as the center by managing upstream and downstream’s enterprises’logisticsand capital flow to investigate the whole risk. With the exacerbating of thecompetition of banks, banks positively start SMEs’ credit business gradually, whichvigorously promote the supply chain monetary pattern. After the financial crisis in2008, the supply chain finance pattern flourishs and many big company and bank startthis pattern to widen the profit channel.This thesis study the supply chain montery and its risk, deeply probes the problemof evaluate of supply chain montary credit risk. This thesis firstly introduce the supplychain montary and its financing pattern and the risk faced. Then study the indexchoosing of credit risk evaluation and the index system building in supply chainmontery. Then build the model of supply chain montery credit risk evaluation basedon the trapezoidal fuzzy numbers. Finally verify the feasibility of this model byempirical analysis and make some suggestions for the evaluation of supply chaincredit risk.The study of supply chain monetary credit risk not only investigate the financingenterprise’ financial and credit status but also evaluate the supply chain the financingenterprise belonged to and the risk of transact with the supply chain from a overallpoint, then decide whether provide loan to the enterprise. The supply chain starts latein our country and has large development space. Further study may optimize themodel of evaluation of supply chain monetary credit risk and subdivide the evaluationindex to improve accuracy of the judgment.