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InterCriteria Analysis Applied to Emerging Europe and Central Asia University Rankings

Advances in Intelligent Systems and Computing, ISSN: 2194-5365, Vol: 1197 AISC, Page: 674-681
2021
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Conference Paper Description

InterCriteria analysis (ICA) is a new tool for decision making. This method can help to make decision according to the similarities or dissimilarities between the criteria. In the current research work an investigation of the Emerging Europe and Central Asia (EECA) university rankings is discussed. The aim of the ICA application over the datasets from Emerging Europe and Central Asia (EECA) university rankings is to identify the behavior of the universities in different countries. The datasets are downloaded by QS World University Rankings website. The aim of ICA application is to discover possible dependencies, correlations or opposite behavior between the universities in different countries. The indicators’ correctness is estimated by second ICA application. The resulting sets contain a segmentation of the universities activities according to the selected indicators. The investigations are made using ICrAData software.

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