M.O. Kovalchuk, O.V. Majevsky
Èlektron. model. 2023, 45(1):54-62
https://doi.org/10.15407/emodel.45.01.054
ABSTRACT
This article discusses the development of an expert system for personnel selection using fuzzy logic. The system uses a fuzzy set structure and membership functions for each criterion to calculate how well a candidate matches the criteria. The algorithm was implemented in Python and the results show that the system can improve automated recruitment for vacant positions and be developed further as a software product.
KEYWORDS
staffing, fuzzy logic principles, HRM systems, automated personnel management systems.
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