Issue:InterCriteria Analysis as a tool for analyzing Big Data datasets: Case study of 2021 national statistics of Bulgarian system of higher education

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Title of paper: InterCriteria Analysis as a tool for analyzing Big Data datasets: Case study of 2021 national statistics of Bulgarian system of higher education Author(s): Veselina Bureva “Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd., Burgas – 8010, Bulgaria vbureva@btu.bg Petar R. Petrov “Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd., Burgas – 8010, Bulgaria peshopbs2@gmail.com Vassia Atanassova Dept. of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 105, 1113 Sofia, Bulgaria vassia.atanassova@biomed.bas.bg Ivo Umlenski Dept. of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 105, 1113 Sofia, Bulgaria ivo@biomed.bas.bg Presented at: International Workshop on Intuitionistic Fuzzy Sets, founded by Prof. Beloslav Riečan, 2 December 2022, Banská Bystrica, Slovakia Published in: Notes on Intuitionistic Fuzzy Sets, Volume 28 (2022), Number 4, pages 464–474 DOI: https://doi.org/10.7546/nifs.2022.28.4.464-474 Download:  PDF (1356  Kb, File info) Abstract: In the paper, the intuitionistic fuzzy sets based InterCriteria Analysis (ICA) and big data systems are applied to the 2021 dataset of the National Statistical Institute with respect to the Bulgarian system of higher education. The results are produced using the Big Data platform Hortonworks and the ICA software ICrAData. Discussion is presented on the discovered relationships regarding tendencies between enrolled and graduated students, and teaching staff. Keywords: InterCriteria Analysis, Big Data, Students, Education. AMS Classification: 03E72. 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