Algorithm of formation of an assessment of professional competence of the personnel on the basis of hierarchical linguistic estimated models

  • Tatiana Vasilevna Azarnova Voronezh State University
  • A.S. Demidova Voronezh State University
Keywords: competence, convolution competencies assessment model, linguistic scale, dichotomous trees, linguistic preference relation between competencies

Abstract

The article investigates the hierarchical linguistic competency evaluation models. These models are presented in the form of dichotomous trees. On the lower level of such trees there are main, general and nuclear (for the analyzable position in the company) competences, measured in linguistic scales. Proposed in the article algorithm and software implement step by step procedure dichotomous convolution elements of the hierarchy into a single comprehensive indicator of competence, located on the upper level. Complex index can serve as a basis for constructing grading system. Convolution of linguistic values of competency in the structure of dichotomous tree is realized by means of special linguistic convolution matrices, which are formed on the basis of linguistic binary preference relations (by importance) between rolling competencies.

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Author Biographies

Tatiana Vasilevna Azarnova, Voronezh State University

Dr. Sci. (Eng.), Head of the Department of Mathematical Methods of Operations Research

A.S. Demidova, Voronezh State University

Postgraduate Student. Department of Mathematical Methods of Operations Research

Published
2015-09-30
How to Cite
Azarnova, T. V., & Demidova, A. (2015). Algorithm of formation of an assessment of professional competence of the personnel on the basis of hierarchical linguistic estimated models. Proceedings of Voronezh State University. Series: Economics and Management, (3), 5-10. Retrieved from https://journals.vsu.ru/econ/article/view/9510