Перегляд за Автор "Andrii Kozlovskyi"

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  • Ескіз недоступний
    Документ
    FORMATION OF THE MODEL OF SUSTAINABLE ECONOMIC DEVELOPMENT OF RENEWABLE ENERGY
    (2023-11-04) Oleksandr Dluhopolskyi; Serhii Kozlovskyi; Yurii Popovskyi; Svitlana Lutkovska; Vira Butenko; Taras Popovskyi; Hennadii Mazur; Andrii Kozlovskyi
    The article considers the use of sustainable energy as a potentially effective alternative energy source capable of replacing traditional natural fuels. The aim of the research is to develop a complex model of sustainable economic development able to promote introducing and expanding sustainable power engineering as potential alternative energy source, providing sustainable economic development, energy efficiency and reducing damages to the environment. The hypothesis lies in introduction of a model for sustainable economic development due to expansion of renewable energy which will result in economic growth, rise in energy efficacy and reducing hazards to the environment. A comparative analysis of costs and revenues of various types for using energy sources was carried out to estimate the economic efficiency and feasibility of renewable energy. The data analysis toolkit uses MS Power BI software, in which the data model was created. The conducted regression analysis provided valuable nu-merical and practical results on formation of the model of sustainable economic development of renewable power engineering. The research is based on the analysis of the impact “share of energy” on the level of electric energy import and CO₂ emissions. It is recommended to intensify efforts to develop renewable energy as a key direction for sustainable economic development to ensure energy security, reduce negative environmental impact and achieve global sustainable development goals.
  • Ескіз недоступний
    Документ
    INTELLECTUAL CAPITAL MANAGEMENT OF THE BUSINESS COMMUNITY BASED ON THE NEURO-FUZZY HYBRID SYSTEM
    (Kyiv: National Economic University named after Vadym Hetman, 2022-08-20) Serhii Kozlovskyi; Petro Syniehub; Andrii Kozlovskyi; Ruslan Lavrov
    The modern economy needs to address the issue of assessing intellectual capital as the basis for the development of market relations. The search for ways to solve this problem is possible based on the use of soft methods. The aim of the article is to develop a structural model for managing the intellectual capital of the business community based on an ppropriate neuro-fuzzy system. Developed on the basis of soft computing methods, an innovative model for estimating intellectual capital of the business community is able to process “non-rigorous”, incomplete or distorted input data, work with qualitative concepts, ambiguous and uncertain statements, perform operations with weak formalized economic parameters. The experimental results obtained made it possible to formulate the methods for evaluating the intellectual capital of business communities (or other similar economic systems) characterized by fuzzy relations between input and output parameters, considerable difficulties in formalizing the factors of influence, capability of using linguistic experts’ statements for building an information and analytical system, etc. The developed hybrid neuro-fuzzy system “Board” for evaluating intellectual capital of a business community enables to process both quantitative and qualitative input data, and was built up according to the criteria of digital economy transformation projects.