Golovko V. Models, methods and information technologies development of fuzzy expert system diagnosis of the financial condition of the company.

The object of study: the process of diagnosis of the financial condition of the company. The objective: to increase the accuracy of diagnosis through the development of information technology for assessing the financial condition of the company on the basis of methods of identification and application of expert systems for information processing in a fuzzy data. Methods: statistical data processing theory, the basic provisions of the fuzzy set theory; the theory of random processes. Theoretical and practical results: development of methods and information technologies make it possible to improve the accuracy of diagnosis through the development of information technology for assessing the financial condition of the company based on its methods of identification and use of expert information processing system in a fuzzy data. The scientific novelty: developed a method for identification of enterprise financial condition, based on the application non production based expert system to calculate the values of membership functions of fuzzy controlled parameters and regression inference engine, and a method of forecasting time series, given its wavelet model, which forecasts the behavior is most counts a number and much more smooth dynamic expansion coefficients of the basis functions. Introduction: in the branch of JSC "Ukreximbank" (Kharkov) to improve the procedures for assessing the creditworthiness of borrowers and institutions in laboratory practical teaching process of the department of computer monitoring and logistics NTU "KhPI" in teaching distsipin "Mathematical Methods of Operations Research" and "Modeling economic risks ". The scope of application: financial and statistical institutions.