Application of neural networks and fuzzy models to determine the creditworthiness of the borrower (an individual)
This article describes the construction of neural networks and fuzzy models to analyze the reliability of the borrower. The constructed neural network is designed to predict the compliance by the borrower with the loan payment schedule for the entire loan period. Fuzzy model - to determine the reliability of a class of borrower (an individual). Also, the article presents the results of researching the work of the designed models. The reliability of the results is analyzed by comparing them with actual data, and the main features of reliable and unreliable borrowers are determined.