Development of models and software solution for the problem of diagnostic of financial states of it-enterprise

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Дата
2020
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Анотація
Currently, the Ukrainian economy is relatively volatile, so enterprises require efficient management, which requires knowing what the management state is. 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 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. In order to determine the financial position, input parameters were estimated, which were used to evaluate the financial state and represent the quantitative and qualitative indicators of the company's activity for the selected period. The obtained results explain what indicators and how they affect the financial position of the company and can be used to solve the forecasting problem. Implementation of the research results will help to accelerate the diagnosis of financial status at the enterprise and make a management decision in time, which is the relevance of the research.
Опис
Tkachenko D. Development of models and software solution for the problem of diagnostic of financial states of it-enterprise / D. Tkachenko ; supervisor O. Goloskokov // Black Sea Science 2020 : рroc. of the Intern. Competition of Student Scientific Works. Information Technology, Automation and Robotics / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2020. – P. 305–317 : tabl., fig. – Ref.: 10 tit.
Ключові слова
diagnosing, financial state, financial indicator, fuzzy logic, production model
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