Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic

Kozlovskyi, Serhii; Mazur, Hennadii; Вдовенко, Наталія; Шепель, Тетяна; Kozlovskyi, Volodymyr

doi:10.14254/1800-5845/2018.14-3.3

Cited by 28 publications

(21 citation statements)

References 2 publications

(5 reference statements)

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“…The most up-to-date method for the enterprises financial condition evaluating is the theory of fuzzy sets. Application of the theory of fuzzy sets for solving the problem of economic evaluation is provided in the papers by S. Kozlovskyi, Mazur, Vdovenko, Shepel, and V. Kozlovskyi (2018). Theory of fuzzy sets (Zadeh, 1965) allows to operate both qualitative and quantitative indicators, to form a system of artificial intelligence and to develop predictions of the level of rating assessment.…”

Section: Literature Reviewmentioning

confidence: 99%

Management and comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises based on the methods of fuzzy sets theory

Kozlovskyi

Butyrskyi

Poliakov

et al. 2019

Problems and Perspectives in Management

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Managing and evaluating the probability of bankruptcy of Ukrainian enterprises is one of the most complex and relevant problems of the economy and management. In the context of Ukraine’s integration into the international space, there is an arising issue of assessing the bankruptcy of Ukrainian enterprises that meets international financial standards and allows administering this process. A qualitative assessment of the bankruptcy of an enterprise is possible only using artificial intelligence methods – the fuzzy sets method, which allows including qualitative and quantitative indicators to the model for assessing bankruptcy of enterprises in Ukraine. The aim of the article is to improve the existing method for assessing the probability of bankruptcy of Ukrainian enterprises on the basis of the fuzzy sets method, which will include indicators of international financial reporting and allow more efficient administration and management of this process. The subject of the research is the process of formalizing the method of the enterprise bankruptcy assessment in accordance with the indicators of International Financial Reporting Standards. The study offers a mechanism for a comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises with the use of the methods of fuzzy sets, which is based on international financial indicators: current ratio, payable turnover ratio, equity turnover ratio, return on assets, equity-to-debt ratio. The mechanism allows quickly managing bankruptcy conditions. In order to administer the economic activity of the bankrupt enterprises, based on the theory of a fuzzy sets, a system of enterprises management takes into account the international financial reporting.

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Section: Literature Reviewmentioning

confidence: 99%

Management and comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises based on the methods of fuzzy sets theory

Kozlovskyi

Butyrskyi

Poliakov

et al. 2019

Problems and Perspectives in Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is determined that the most modern method of estimating the economic state of any processes is the methods of fuzzy set theory. The application of fuzzy set theory to solve the problem of economic evaluation in the agrarian sector of the Ukrainian economy is presented in the work by S. Kozlovskyi et al (2018) [6]. The use of fuzzy set theory (Zadeh, 1965) makes it possible to operate both qualitative and quantitative indicators, to form an artificial intelligence system and to develop forecasts of the level of rating [26].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Rotshtein (1999), A. Rotshtein and S. Shtovba (2009) will be used. In this case, the terms are presented in the form of fuzzy sets, using the model of membership function [6,19,20]…”

Section: Economic-mathematical Modeling and Forecasting Of Competitivmentioning

confidence: 99%

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Economic-Mathematical Modeling and Forecasting of Competitiveness Level of Agricultural Sector of Ukraine by Means of The-ory of Fuzzy Sets under Conditions of Integration into European Market

Kozlovskyi¹,

Khadzhynov²,

Lavrov³

et al. 2019

IJRTE

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The processes of integration of Ukraine into the European Economic Community, the presence of powerful competitors in the European markets encourage the formation of a set of measures with the distinction of tools to ensure the competitiveness of the agro-industrial complex of the state. The necessity of ensuring the competitiveness of Ukraine's agro-industrial complex on the basis of determining the competitive advantages dictate the urgency of scientific search for new methods, forms, tools for its enhancement, which will further promote the market relations in Ukraine and will have a direct impact on the wellbeing of the population. The aim of the work is to develop an innovative economic-mathematical model for assessing and forecasting the grade of competitiveness of the agricultural sector of Ukraine based on fuzzy sets, which will allow acceleration of the process of Ukraine integration into the European market. The object of the research is the process of ensuring the competitiveness of the Ukrainian agricultural sector. The subject of the research is methodological aspects of economic and mathematical modeling of the competitiveness of the agrarian sector of Ukraine. The methodology of the study is based on the principles and mathematical provisions of fuzzy sets, which allows to use both qualitative and quantitative indicators of influence on the process under study. As a result of the research, based on fuzzy set theory, which allows taking into account both quantitative and qualitative factors of influence on the level of competitiveness, an innovative economic-mathematical model of valuation and forecasting of the grade of competitiveness of the agricultural sector of Ukraine has been developed. The classification of factors influencing the level of agrarian industry competitiveness has been formed. The forecast of the grade of competitiveness of the agricultural sector of Ukraine in 2025 has been made, which will allow formulating a strategy of development of the agricultural sector of Ukraine.

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“…Management processes are costly in themselves, they influence the creation of the final product, the quality of which determines the level of income of the enterprise. The use of information technologies in planning business activities and increasing its sustainability has become extremely important [4][5][6][7][8][9][10][11][12]. Thus, their indirect impact on the direct processes of the main activities on the one hand does not allow the direct method to take into account the costs incurred, and on the other requires an assessment of the quality level of the impact to highlight the bottlenecks in the main processes.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Evaluation of Change Management Processes in the Context of Enterprise Sustainability

et al. 2019

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Enterprise sustainability can only be ensured by taking into account the dynamics of the environment, which requires effective implementation of changes. Organizational change management is seen as the interaction of the groups of processes: direct implementation and the processes of managerial influence on their implementation. The article seeks to develop a framework for evaluation of change management processes based on the fuzzy logics. The expert analysis was carried out to develop fuzzy rules based on the linguistic terms (high, medium, and low). The database of rules for assigning an enterprise to the appropriate level of organizational change management has been developed (243 rules). The proposed model was applied to the case of Ukrainian agricultural machinery companies. The results allowed identifying the bottlenecks for the companies under analysis in seeking sustainable change management.

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Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic

Cited by 28 publications

References 2 publications

Management and comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises based on the methods of fuzzy sets theory

Management and comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises based on the methods of fuzzy sets theory

Economic-Mathematical Modeling and Forecasting of Competitiveness Level of Agricultural Sector of Ukraine by Means of The-ory of Fuzzy Sets under Conditions of Integration into European Market

Fuzzy Evaluation of Change Management Processes in the Context of Enterprise Sustainability

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