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Ranking of Educational Institutions Based on User Priorities Using Multi-criteria Decision-Making Methods

Publication Type : Conference Paper

Publisher : 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, Springer International Publishing,

Source : 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, Springer International Publishing, Cham (2021)

Url : https://link.springer.com/chapter/10.1007/978-3-030-47560-4_32

ISBN : 9783030475604

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2021

Abstract : Educational institutions play a major role in transforming the values to the upcoming generations. In recent times, there is a steep increase in the number of students opting for various degrees, and one can also observe that the number of institutions offering these degrees is on the rise to cater the need of the younger generations. With the major growth of education sector, it is very essential to evaluate the educational institutions for their own betterment as well as to serve as a reference for choosing a particular institution. There exist a number of ranking systems that rank educational institutions based on a fixed set of parameters. However, there exists no such system that provides the rank of institutions based on user-defined preferences. This paper aims to implement a ranking system based on analytical hierarchy process and multi-criteria decision-making method PROMETHEE and ranks educational institutions based on various parameters weighed according to the user preferences. Such a ranking system helps the students and parents to filter out the institutions based on their requirements and find a suitable institution to cater their need.

Cite this Research Publication : A. U. Angitha and Dr. Supriya M., “Ranking of Educational Institutions Based on User Priorities Using Multi-criteria Decision-Making Methods”, in 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, Cham, 2021.

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