Decision support system in the sphere of vacancy selection for graduates of technical universities

Abstract

In the present article there are considered approaches to problem solving of selection of suitable vacancies for young experts on the basis of correlation of a competency based matrix of the graduate with employer’s requirements. The offered technique involves five stages: correlation of disciplines and competences, prioritization of employer’s requirements, initial selection of compared competences from the competency based matrix of a graduate, correlation of requirements and competences, assessment of the graduate’s competence relevance in relation to the vacancy. Technique automation using a self-learning neural network will provide flexibility and constant relevance of the obtained results.