MODELING OF LABOR POTENTIAL OF UKRAINE: FORMATION OF KNOWLEDGE BASE

Main Article Content

DOI

Ivan V. Zayukov

Zivan@i.ua

http://orcid.org/0000-0002-7225-2827
Iryna M. Kobylianska

irishakobilanska@gmail.com

http://orcid.org/0000-0002-3430-5879
Alexandr Kobylianskyi

akobilanskiy@gmail.com

http://orcid.org/0000-0002-9724-1470
Sofia V. Dembitska

sofiyadem13@gmail.com

http://orcid.org/0000-0002-2005-6744

Abstract

The adaptation of the Ukrainian economy to the requirements of the European Union requires increasing the effectiveness of the system of making public management decisions regarding the development and assessment of the labor potential of our country. Currently, a unified system of evaluation indicators of the labor potential of Ukraine has not yet been developed. The authors substantiated and systematized the groups of medico-demographic, socio-economic and educational factors that affect the health of the employed population, and suggested the use of the "preserving the health of the employed population" indicator for assessing the labor potential. Accordingly, a mathematical model for evaluating the health of the employed population at the macro level is proposed, which is based on the theory of fuzzy logic. The application of the proposed model will make it possible to increase the efficiency of the system of public management decision-making in the process of developing concepts, strategies, and practical measures for the implementation of policies for the preservation of the health of the employed population, as well as to make timely adjustments during implementation, which should positively reflect on the steady growth of the index human development (HDI).

Keywords:

labor potential, knowledge base, evaluation terms, factors, modeling, fuzzy logic

References

Article Details

Zayukov, I. V., Kobylianska, I. M., Kobylianskyi, A., & Dembitska, S. V. (2022). MODELING OF LABOR POTENTIAL OF UKRAINE: FORMATION OF KNOWLEDGE BASE. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 12(3), 74–78. https://doi.org/10.35784/iapgos.3040