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

Veselina Bureva, Petar R. Petrov, Vassia Atanassova, Ivo Umlenski
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引用次数: 1

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.
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标准间分析作为分析大数据数据集的工具:保加利亚高等教育系统2021年国家统计数据案例研究
在本文中,基于标准间分析(ICA)和大数据系统的直觉模糊集应用于国家统计研究所关于保加利亚高等教育系统的2021数据集。这些结果是使用大数据平台Hortonworks和ICA软件ICrAData生成的。讨论了已发现的在校生、毕业生与教师之间的倾向性关系。
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