@ARTICLE{Azarova_Anzhelika_O._Information_2020,
 author={Azarova, Anzhelika O. and Azarova, Larysa E. and Pavlov, Sergii V. and Savina, Nataliia B. and Kaplun, Iryna S. and Wójcik, Waldemar and Smailova, Saule and Kalizhanova, Aliya},
 volume={vol. 66},
 number={No 3},
 journal={International Journal of Electronics and Telecommunications},
 pages={411-416},
 howpublished={online},
 year={2020},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={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.},
 type={Article},
 title={Information Technologies for Assessing the Quality of IT-specialties Graduates' Training of University by Means of Fuzzy Logic and Neural Networks},
 URL={http://ochroma.man.poznan.pl/Content/115220/PDF/57_2126_Azarova_skl_new1.pdf},
 doi={10.24425/ijet.2020.131893},
 keywords={information technologies, fuzzy logic, neural networks, quality of IT-specialties graduates' training},
}