Establishment of Rough-Fuzzy-ANN Model for Forecasting Enterprise Financial Distress and Its Application

This paper presents a new composite forecasting method for corporation financial distress modeling and forecasting based on rough-fuzzy-ANN model,and gives the corresponding composite learning algorithm.After doing the empirical research which is based on the latest data of China's listed company,the result shows that this method is highly accurate and have reinforcement learning properties and mapping capabilities.For forecasting financial distress,it proves to be feasible and valid.The research work supplies a new way for dynamic prediction for enterprise financial crisis.