Application of Fuzzy Logic in the Ranking of Academic Institutions. Issue 3 (3rd July 2019)

• Record Type: Journal Article
• Authors: Das, Kousik; Samanta, Sovan; Naseem, Usman; Khalid Khan, Shah; De, Kajal
• Is Part Of: Fuzzy information and engineering. Volume 11:Issue 3(2019)
• Page Start: 295
• Page End: 306
• Publication Date: 2019-07-03
• Subjects: Fuzzy control system -- NIRF -- KSM index -- Sugeno; Fuzzy systems -- Periodicals; Intelligent control systems -- Periodicals; 629.89
• DOI: 10.1080/16168658.2020.1805253
• Languages: English
• ISSNs: 1616-8658

Abstract

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.