MODELS AND SOFTWARE SOLUTIONS FOR THE PROBLEM OF DIAGNOSING THE FINANCIAL STATE OF IT ENTERPRISE

Abstract

Today, the economy of Ukraine is in a relatively unstable position; therefore, Ukrainian enterprises require effective management. 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.

Authors and Affiliations

Alexander Goloskokov, Daria Tkachenko

Keywords

Related Articles

МОДЕЛИ СБАЛАНСИРОВАННОГО ПЛАНИРОВАНИЯ ВХОДНЫХ, ВЫХОДНЫХ ПОТОКОВ ПРОДУКТОВ ЛОГИСТИЧЕСКОЙ СИСТЕМЫ ТЕРРИТОРИИ

<p class="204">В работе рассматриваются вопросы повышения эффективности функционирования предприятий аграрной сферы за счет снижения их убытков путем создания интегрированного комплекса моделей сбалансированного планиров...

Инвертирование линейных динамических систем в среде квазигармонических сигналов

<span>Методы обращения динамических систем нашли широкое распространение для решения задач управления механическими и электрическими системами. Инвертирование динамических систем является эффективным способом реализации...

ІНТЕЛЕКТУАЛЬНИЙ АНАЛІЗ ПРОПОЗИЦІЙ ТОВАРІВ НА ОСНОВІ КОНТЕКСТНИХ РЕКОМЕНДАЦІЙ

<p class="304">Інтернет-технології є невід’ємною складовою відносин, які виникають у сучасному суспільстві. Через швидке впровадження та зручність електронних майданчиків, прогнозовано зростає попит на ринку IT-продуктів...

The concept of an architectural solution for the service intended to build an enterprise strategy map

<span>The article examines an architectural solution of a software application for building an enterprise strategy map. It gives a short review of existing software products at the IT-market, which is used in strategic e...

Модели и показатели оценки качества программного обеспечения информационных систем

<span>Рассмотрена проблема оценки качества программного обеспечения информационных систем. Проведен анализ достоинств и недостатков существующих методов оценки качества программного обеспечения информационных систем. Кач...

Download PDF file
  • EP ID EP603778
  • DOI 10.20998/2079-0023.2019.01.06
  • Views 62
  • Downloads 0

How To Cite

Alexander Goloskokov, Daria Tkachenko (2019). MODELS AND SOFTWARE SOLUTIONS FOR THE PROBLEM OF DIAGNOSING THE FINANCIAL STATE OF IT ENTERPRISE. Вісник Національного технічного університету «ХПІ». Серія: Системний аналiз, управління та iнформацiйнi технологiї, 0(1), 30-37. https://europub.co.uk/articles/-A-603778