Iнформаційна технологія для прогнозування фінансового стану підприємств на основі альтернативних методів

Abstract

The features of the design of information systems for analyzing and forecasting the financial state of enterprises was considered. It is based on Bayesian networks, logistic regression and fuzzy logic. The modular structural architecture of the information system was created. Implemented system automatically communicates with external services via web services toolkit and has its own user interface.