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Ranking of Educational Institutions Based on User Priorities using AHP-PROMETHEE Approach

Publication Type : Conference Paper

Publisher : Lecture Notes in Electrical Engineering

Source : Lecture Notes in Electrical Engineering. Vol. 736 LNEE. doi:10.1007/978-981-33-6987-0_11.

Url : https://link.springer.com/chapter/10.1007/978-981-33-6987-0_11

Campus : Bengaluru

School : Department of Computer Science and Engineering

Department : Computer Science and Engineering

Year : 2021

Abstract : Today, education plays a major role in bringing values to the coming generations. With right to education taken up seriously by the government, there is a vast increase in the number of students taking up various courses and degrees. To cater to these needs, several educational institutions have also come up with the intention of providing a variety of courses to the students. However, as the numbers increase, the need to assess these institutions also increases in order to help students decide the institution of their choice and also for the institutions to better themselves. To accomplish evaluation of such institutions, a number of ranking systems were established with a fixed set of criteria. However, a ranking system which would cater to the needs of a student individually was never developed. This paper aims to develop a ranking system, which ranks the educational institutions based on the needs of an individual, using analytical hierarchy process and the multi-criteria decision-making method PROMETHEE. In order to make this system automized, the data required for this process has been retrieved using the process of web crawling. Web crawlers are automated scripts that are used to browse the World Wide Web in a systematic manner. This work will be useful for parents and students to find institutions based on their set of preferences.

Cite this Research Publication : Angitha, A. U. and M. Supriya. 2021. Ranking of Educational Institutions Based on User Priorities using AHP-PROMETHEE Approach. Lecture Notes in Electrical Engineering. Vol. 736 LNEE. doi:10.1007/978-981-33-6987-0_11.

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