Information Technologies for Assessing the Quality of IT-specialties Graduates' Training of University by Means of Fuzzy Logic and Neural Networks

Anzhelika O. Azarova, Larysa E. Azarova, Sergii V. Pavlov, Iryna S. Kaplun, Nataliia B. Savina, Waldemar Wójcik, Saule Smailova, Aliya Kalizhanova


The information technologies for assessing the quality of IT-specialties graduates' training of university by means of fuzzy logic and neural networks are developed in the article. It makes possible taking into account a wide set of estimation and output parameters, influence of the external and internal factors and allows to simplify the assessing process by means of modern mathematical apparatuses of artificial intelligence.

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