Competence assessment model based on fuzzy logic algorithms for FGOS3++ and PS synchronization

Astashina Olga Vladimirovna

The article covers the method of competencies assessment in terms of fuzzy logic theory. Such linguistic variables as «indicator mark», «competence mark» are described. Stages of phasification, fuzzy inference, dephasification are laid down. To obtain the final competence mark fuzzy inference algorithms are introduced. Mamdani and Sugeno algorithms are used to calculate competence mark. Competence assessment model serves to be the core element synchronizing data from FGOS 3++, professional standards, labor market with academic achievements. Technological foresight of competencies is an instrument for updating competence data bases.

Keywords:linguistic variable, MISO, fuzzy algorithms, TFC