Application of Fuzzy Influence Map Evaluation Algorithm in Supply Chain Financial Credit Risk Assessment

With the continuous development of supply chain finance business, credit risk assessment has become an inevitable problem in enterprise operation. Traditional credit risk assessment methods are often based on historical data to predict and judge, but due to the characteristics of supply chain finance business, these methods have many limitations, such as information asymmetry, sparse data and so on. Therefore, how to improve the accuracy and efficiency of credit risk assessment has become an urgent problem to be solved. As a new data analysis method, fuzzy influence diagram evaluation algorithm can effectively solve these problems. This paper will introduce the application of fuzzy influence diagram evaluation algorithm in credit risk assessment of supply chain finance.