Fuzzy Analysis of the Development of Regional Labour Markets of Ukraine

Vasyl Pryimak, Jozef Ledzianowski, Olga Holubnyk and Justyna Malysiak

European Research Studies Journal, 2021, vol. XXIV, issue 1, 936-953

Abstract: Purpose: We propose to apply the theory of fuzzy logic and fuzzy sets, as well as modern information technologies, as neural networks, to assess the state of the labor market. Design/Methodology/Approach: The article considers the procedure of fuzzy assessment of the state of the regional labor market on the basis of the construction of a generalized indicator, the value of which increases with the improvement of the state. In the process of calculations, 16 primary indicators were used, the values of some of which were obtained statistically, and others - by experts. In this paper, the values of the result generalized indicator "Level of development of the regional labor market" for the regions of Ukraine for 2007-2017 are obtained. The Fuzzy Logic Toolbox module of the MatLab program was used to automate the calculations. Findings: The results show that the global financial and economic crisis of 2008 and the Russian aggression in eastern Ukraine in 2014 affected the state of its regional labor markets. However, the regulatory measures used by the state in these markets were able to significantly offset this impact. Practical implications: The research uses advanced mathematical tools to analyze the labor market. In particular, the logic of fuzzy sets and fuzzy logic were used. Originality/Value: The research can be used for a comparative analysis of selected labor markets. The applied research metrology as a universal method enables the assessment and forecast of local markets.

Keywords: Labor market; Fuzzy set theory, neural networks, fuzzification procedure, linguistic variable, membership function. (search for similar items in EconPapers)
JEL-codes: J00 J01 J20 J40 (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:1:p:936-953

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