IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i3p749-762.html
   My bibliography  Save this article

Fuzzy Technologies Modeling the Level of Welfare of the Population in the System of Effective Management

Author

Listed:
  • Vasyl Pryimak
  • Olha Holubnyk
  • Paulina Ucieklak-Jez
  • Joanna Kubicka
  • Kamila Urbanska
  • Arkadiusz Babczuk

Abstract

Purpose: The article aims to present the use of fuzzy technologies to model the welfare of the population in the system of effective management of the country's economy. In particular, the aim was to develop an approach to assessing the welfare of the country's population based on the use of fuzzy logic and fuzzy set theory. Design/Methodology/Approach: The paper deals with the procedure of fuzzy assessment of the welfare level of the country's population. The expert approach to forming a system of six partial indicators, the value of which is taken into account when calculating the level of welfare of the country's population, is used. After selecting the set of primary indicators, their value is reduced to a fuzzy form. We next find the magnitude of the original integral index of this level in a fuzzy form. Finally, we define the precise value of this integral index, which corresponds to its fuzzy form. Findings: The results obtained indicate the effectiveness of the socio-economic policy of the state during the study period, which resulted in a significant improvement in the welfare of the population of Ukraine despite social and economic instability. Practical Implications: The results obtained indicate the effectiveness of the socio-economic policy of the state during the study period, which resulted in a significant improvement in the welfare of the population of Ukraine despite social and economic instability. Originality/Value: The assessment of the level of welfare of the population, which is based on the use of the theory of fuzzy logic and fuzzy sets and the possibility of taking into account in the calculations of these quantitative and qualitative primary factors that shape this welfare.

Suggested Citation

  • Vasyl Pryimak & Olha Holubnyk & Paulina Ucieklak-Jez & Joanna Kubicka & Kamila Urbanska & Arkadiusz Babczuk, 2021. "Fuzzy Technologies Modeling the Level of Welfare of the Population in the System of Effective Management," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 749-762.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:3:p:749-762
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/journal/2382/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Serhii Kozlovskyi & Hennadii Mazur & Nataliia Vdovenko & Tetiana Shepel & Volodymyr Kozlovskyi, 2018. "Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(3), pages 37-53.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vdovenko, Natalia & Tomilin, Oleksii & Kovalenko, Liubov & Badri, Gechbaia & Konchakovskiy, Eugen, 2022. "Global trends and development prospects of the market of plant protection products," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(2), June.
    2. Tetiana Vlasenko & Anatolii Hatsko & Tetiana Larina & Yevhen Hryn & Dalia Streimikiene & Tomas Balezentis, 2019. "Fuzzy Evaluation of Change Management Processes in the Context of Enterprise Sustainability," Sustainability, MDPI, vol. 11(22), pages 1-11, November.
    3. Pryshliak Natalia & Tokarchuk Dina, 2020. "Socio-economic and environmental benefits of biofuel production development from agricultural waste in Ukraine," Environmental & Socio-economic Studies, Sciendo, vol. 8(1), pages 18-27, March.

    More about this item

    Keywords

    Welfare; fuzzy set theory; linguistic variable; membership function.;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxiv:y:2021:i:3:p:749-762. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.