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RESEARCH CENTER FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

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Liburkina L. M.

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Modeling Human Resources Competencies Based on the Use of Fuzzy Logic
Bryukhovetskaya N. Y., Iievlev V. V.

Bryukhovetskaya, Nataliya Ye., and Iievlev, Viktor V. (2026) “Modeling Human Resources Competencies Based on the Use of Fuzzy Logic.” Business Inform 6:262–270.
https://doi.org/10.32983/2222-4459-2026-6-262-270

Section: Economic and Mathematical Modeling

Article is written in Ukrainian
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UDC 005.336.4:004.738.5

Abstract:
The article presents the results of a study on the theoretical and practical aspects of building a mathematical model for assessing the digital competencies of a company’s human resources. Creating a mathematical model for evaluating staff digital competencies involves moving from qualitative expert assessments to quantitative indicators. This allows for automating the talent management process using specialized systems. A review of scientific publications on the topic was conducted, highlighting the main aspects of developing a system of digital competency indicators in modern enterprises. The article also looked at the essence of the competency-based approach to human resource management and the concept of «competence». The developed model for assessing the digital competencies of a company’s human resources includes five main stages: developing indicators used in the assessment; defining clusters of the competency model; conducting expert evaluation of competencies; developing a mathematical model for assessing human resource competencies using fuzzy sets; and making decisions regarding the selection of human resources. This model is based on fuzzy logic rules and should take into account the impact of a company’s human resources’ digital competencies. So, the goal of this study is to develop the best tool for modeling the decision-making process when ranking job candidates, considering the numerical characteristics of the company’s human resources. The proposed approach to assessing the competence of a company’s human resources eliminates the main shortcomings of traditional evaluation scales. The mechanisms for determining and analyzing consensus opinions, developed within this approach, will make it possible to achieve the necessary level of quality and objectivity in evaluation, and automating the process will reduce the required financial and operational costs.

Keywords: competence; human resources; fuzzy logic; model; enterprise; digital competencies.

Fig.: 1. Tabl.: 4. Formulae: 4. Bibl.: 14.

Bryukhovetskaya Nataliya Ye. – Doctor of Sciences (Economics), Professor, Head of Department, Department of Problems of Enterprise Economics, Institute of Industrial Economics of NAS of Ukraine (2 Mariia Kapnist Str., Kyiv, 03057, Ukraine)
Email: [email protected]
Iievlev Viktor V. – Postgraduate Student, Institute of Industrial Economics of NAS of Ukraine (2 Mariia Kapnist Str., Kyiv, 03057, Ukraine)
Email: [email protected]

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