Banks bankruptcy risk forecasting with application of FNN

Abstract

In this paper the problem of banks bankruptcy risk forecasting under uncertainty is considered. For its solution the application of fuzzy neural networks ANFIS and TSK and fuzzy GMDH is suggested. The experimental investigations of the suggested fuzzy models application for bankruptcy risk forecasting of European banks are carried out and comparison with classical methods is performed.