| Issue |
E3S Web Conf.
Volume 166, 2020
The International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2020)
|
|
|---|---|---|
| Article Number | 13010 | |
| Number of page(s) | 8 | |
| Section | Sustainable Economy | |
| DOI | https://doi.org/10.1051/e3sconf/202016613010 | |
| Published online | 22 April 2020 | |
Fuzzy modeling in human resource management
Zaporizhzhia National University, 66 Zhukovsky Str., Zaporizhzhia, 69063, Ukraine
* Corresponding author: nn_iva@ukr.net
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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