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

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 an...

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Bibliographic Details
Main Authors: Anzhelika O. Azarova, Larysa E. Azarova, Sergii V. Pavlov, Nataliia B. Savina, Iryna S. Kaplun, Waldemar Wójcik, Saule Smailova, Aliya Kalizhanova
Format: Article
Language:English
Published: Polish Academy of Sciences 2020-09-01
Series:International Journal of Electronics and Telecommunications
Subjects:
Online Access:https://journals.pan.pl/Content/115220/PDF/57_2126_Azarova_skl_new1.pdf
Description
Summary: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.
ISSN:2081-8491
2300-1933