Financial early warning system based on neuro-FDT for listed companies

With the deepening of China's reform, opening up and economic globalization, the competition among listed companies is becoming fiercer and fiercer, and then the financial difficulties have been becoming the important problems that many enterprises may face. Therefore, how to help listed companies evade and disperse financial risk becomes the academic focus. The financial early warning system of crisis is one of the most important areas of enterprise's risk management, which arouses great concern from practice circle too. Neuro-FDT tool is introduced to financial early warning system of listed companies by making advantage of fuzzy rules and degree of certainty, which offers a kind of new modeling thought and method for studying the early warning problem of company's financial affairs, and widens the research range of this field. And this study is based on the principle of financing and financial index sets. The NEURO-FDT financial early warning model may expand the scope of application and improve the accuracy of prediction.