AHP -Entropy Method Credit Risk Assessment Based on Python

摘要

In order to improve the ability of credit risk control, AHP- Entropy method is adopted to establish the credit risk assessment digital analysis system based on Python computer program. The system has 3 levels and evaluates 18 credit risk indicators. Combined with the characteristics of the enterprise, this paper analyzes 99 small, medium and micro enterprises with relatively small scale and lack of mortgage assets. The research shows that the AHP- Entropy method credit risk assessment digital system based on Python is concise and objective, which reflects the credit risk of various enterprises more accurately, and is worthy of further promotion and application.