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

Vasyl Pryimak, Olha Holubnyk, Paulina Ucieklak-Jez, Joanna Kubicka, Kamila Urbanska and Arkadiusz Babczuk

European Research Studies Journal, 2021, vol. XXIV, issue 3 - Part 1, 749-762

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.

Keywords: Welfare; fuzzy set theory; linguistic variable; membership function. (search for similar items in EconPapers)
JEL-codes: B23 I31 I32 O12 O15 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:ers:journl:v:xxiv:y:2021:i:3-part1:p:749-762

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