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.
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