Using Neuro-Fuzzy Logic for Forming an Organization’s Talent Pool

For large enterprises, the issue of personnel provision has become significantly more acute. This is because it is necessary to constantly maintain and update the employee motivation system in such a way as to retain the team and ensure its development through training and retraining, taking into account the dynamism of the tasks facing the enterprise. Another acute problem is appointing managers at various levels to positions in accordance not only with their professional competencies, but also with so-called “soft skills”. This work attempts to integrate clear (quantitative) and fuzzy (qualitative) personnel assessments within a single information advisory system. As an evaluation tool, the authors use the mathematical apparatus of neuro-fuzzy logic. As a result, they manage to achieve a system with artificial intelligence that adequately replicates any expert’s actions in selecting candidates for management positions.