E3S Web of Conferences (Jan 2020)

Fuzzy modeling in human resource management

  • Ivanov Mykola,
  • Ivanov Sergey,
  • Terentieva Nataliia,
  • Maltiz Victoria,
  • Kalyuzhnaya Julia

DOI
https://doi.org/10.1051/e3sconf/202016613010
Journal volume & issue
Vol. 166
p. 13010

Abstract

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This article discusses the theoretical aspects of evaluating personnel performance indicators in the development of the digital economy. Eight procedures were identified for a comprehensive assessment of staff performance. A mathematical apparatus was built for assess normative or average values of performing job duties, determine many specialties, assess the level of education, evaluate the levels of enterprise management, describe many posts, describe the correspondence and interchangeability of posts, evaluate additional characteristics of employees and describe many additional tasks and their characteristics. Allocated linguistic variables characteristics of employees. The structural model of data mining in HR process management was built. Highlighted the membership function of the input linguistic variables of the staff and conducted a description of linguistic variables.