Вісник № 01. Системний аналіз, управління та інформаційні технології
Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/42344
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Документ Models and software solutions for the problem of diagnosing the financial state of IT-enterprise(НТУ "ХПІ", 2019) Goloskokov, Alexander Evgenievich; Tkachenko, Daria VadimovnaToday, the economy of Ukraine is in a relatively unstable position; therefore, Ukrainian enterprises require effective manage ment. But in order to effectively manage the enterprise, you need to know what state it is in. Solving the problem of diagnosing the financial state of an enterprise in the future will allow developing an apparatus of effective management decisions that will help maintain the enterprise at the proper level of functioning and ensure further development of both the enterprises and the economy as a whole. The relevance of research is manifested in the application of the results for operational and effective management. The problem is in the need to obtain a more accurate solution for the problem of diagnosing the financial state of the enterprise with the parameters that characterize the financial situation best of all. The main objective of the research was to solve the problem of diagnosing the financial state of an IT company, using a model that implements a certain approach in order to obtain a qualitative conclusion about the state of a company. A method based on the use of a fuzzy logic apparatus, namely, production models with a Mamdani fuzzy inference algorithm is proposed for solving the problem. There are 10 input parameters were allocated to determine the financial state. The criteria according to which the state was assessed were quantitative and qualitative indicators of the company’s activity over the selected period. The resulting mathematical model allows to take into consideration both quantitative and qualitative indicators. The results of the research give an understanding of what indicators and how affect the financial condition of the company, and can also be used in the future, for example, to solve the forecasting problem. The implementation of research results can help speed up the diagnosis of the financial state of the enterprise and make a right management decision based on the results of diagnosis in time.