Using Fuzzy Clustering with SVM in Credit Classification

It suffers from the lack of user classification information in the credit data of the People's Bank of China, and there are a lot of descriptive variables for each user, which restricts the availability of credit reports in financial institutions. In order to address this issue, this paper marks the credit report by constructing fuzzy numbers and using fuzzy clustering, and classifies the credit users with support vector machines on the basis of the marks. From the experiments, it can be seen that fuzzy clustering gives an significant improvement in classifying users' credit information.