Application of Fuzzy Logic in the Ranking of Academic Institutions

11Citations
Citations of this article
25Readers
Mendeley users who have this article in their library.

Abstract

For the development of any organization, evaluation of performance is an important task. To analyze the performance, Das et al. introduced a ranking framework based on fuzzy logic. That framework compared the current NIRF system of Indian Institutions with the fuzzy logic-based Mamdani system, KSM index. In that study, uniform membership functions are not taken. This study will focus on the ranking system based on Mamdani and Sugeno with fuzzy triangular numbers as input values of membership functions. Also, the updated results are compared with existing NIRF systems and considered Top 20 institutions of India for the year 2019 as per NIRF.

Cite

CITATION STYLE

APA

Das, K., Samanta, S., Naseem, U., Khalid Khan, S., & De, K. (2019). Application of Fuzzy Logic in the Ranking of Academic Institutions. Fuzzy Information and Engineering, 11(3), 295–306. https://doi.org/10.1080/16168658.2020.1805253

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free