Authors : Askhat Z. Asanov, Irina Y. Myshkina and Larisa Yu. Grudtsyna
Abstract: The study solves one of the most important tasks of personnel policy, the problem of professional competency correspondence rate estimation and other characteristics of a claimant to the requirements and conditions of an employer. The possibility of cognitive model use is considered, both clear and fuzzy ones, at different stages of personnel selection. A fuzzy production model of a claimant cognitive competencies and a clear cognitive model of a vacancy are described including heterogeneous criteria of an applicant assessment; the technique for the collection and processing of expert estimations of connection weights between the concepts of a clear cognitive map. A properly built orgraph of competencies allows job seekers to take into account not only the basic competence (if an applicant do not own them completely) at the assessment of conformity but also the basic competences needed for the development of the basic ones. Thus, the potential of an applicant is estimated which he has to improve his skills. A cognitive vacancy map (at the estimation of an applicant correspondence to the vacancy requirements) allows to take into account different qualitative and quantitative characteristics, the presence of additional combinations of criteria, which allow to increase the resulting estimation of an applicant that reflect the personal preferences of an employer during the selection of candidates. The study contains a practical example of a clear cognitive vacancy map development. The estimates of eleven candidate compliance data are presented. The results are fully consistent with an employer preferences.
Askhat Z. Asanov, Irina Y. Myshkina and Larisa Yu. Grudtsyna, 2015. Evaluation and Selection of Personnel Based on Clear and Fuzzy Cognitive Models. International Journal of Soft Computing, 10: 448-453.