Intelligent faculty evaluation and ranking system based on N-framed plithogenic fuzzy hypersoft set and extended NR-TOPSIS-Reference-Cited by-同舟云学术

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

Published:2024-12 Issue: Volume:109 Page:18-28
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Afzal Usman^ORCID,Ahmad Muhammad Rayees,Alessa Nazek,Raza Nauman,Birkea Fathea M.O.,Alkhalaf Salem,Omer Nader

Funder

Princess Nora bint Abdulrahman University

Publisher

Elsevier BV

Reference27 articles.

1. A multicriteria decision analysis model for faculty evaluation;Carlos;Omega,2012

2. Measuring faculty viewpoints to optimize success for faculty researchers: Does creativity matter?;Shreffler;Creativity Res. J.,2021

3. Creativity and performance appraisal: Shall never the twain meet?;Ralph;Creativity Res. J.,1993

4. Evaluating lecturer performance in Vietnam: An application of fuzzy AHP and fuzzy TOPSIS methods;Do;Heliyon,2024

5. Optimization of teacher evaluation indicator system based on fuzzy-DEMATEL-BP;Qian;Heliyon,2024

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