Intelligent faculty evaluation and ranking system based on N-framed plithogenic fuzzy hypersoft set and extended NR-TOPSIS

Intelligent faculty evaluation and ranking system based on N-framed plithogenic fuzzy hypersoft set and extended NR-TOPSIS

This paper proposes an intelligent faculty evaluation and ranking system in a fuzzy environment, with a focus on semester-wise evaluation rather than annual evaluation. This approach is warranted because a university’s academic goals may vary across semesters, affecting the selection and weights of...

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Bibliographic Details
Main Authors: Usman Afzal, Muhammad Rayees Ahmad, Nazek Alessa, Nauman Raza, Fathea M.O. Birkea, Salem Alkhalaf, Nader Omer
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Alexandria Engineering Journal
Subjects:
Faculty evaluation
Multi-criteria decision making (MCDM)
Plithogenic hypersoft set (PHSS)
N-framed PHSS
Extended NR-TOPSIS
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824009591
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