UTILIZING FUZZY SET THEORY IN IMPROVING EDUCATION SYSTEM, CHALLENGES AND FUTURE DIRECTIONS
Keywords:
fuzzy set theory (FST), personalized learning, student assessment, adaptive learning systems, educational decision-makingDOI:
https://doi.org/10.17654/0973421X25001Abstract
In the past several years, there has been a growing interest in the use of fuzzy set theory (FST) in the education system like student learning, supports the educational process, and helps teachers make wise judgments. Fuzzy logic has found use in a variety of domains, including education, due to its capacity to manage imprecise information and model ambiguity. This paper seeks to investigate the various ways that fuzzy set theory is applied in the educational setting, with an emphasis on how it is used in student modeling, evaluation, individualized learning, and decision-making. Through a review of the research, this paper suggests potential applications of FST in improving education system, challenges and future directions.
Received: April 5, 2025
Accepted: May 12, 2025
References
N. A. Bakar, S. Rosbi and A. A. Bakar, Evaluation of students performance using fuzzy set theory in online learning of Islamic finance course, International Journal of Interactive Mobile Technologies 15(7) (2021), 202-209.
R. Biswas, Fuzzy grading system: a tool for more accurate student evaluation, Fuzzy Sets and Systems 74(2) (1995), 187-194.
L. H. Chen, Fuzzy logic-based adaptive learning system for personalized education, International Journal of Artificial Intelligence in Education 24(3) (2014), 227-244.
P. Dutta and B. Das, Fuzzy adaptive testing for personalized assessment in E learning, Educational Technology and Society 16(3) (2013), 101-113.
A. A. Khan and O. Naseer, Fuzzy logic based multi user adaptive test system, International Journal of Soft Computing and Software Engineering 2(8) (2014).
S. Pramanik and D. Mukhopadhyaya, Grey relational analysis based intuitionistic fuzzy multi-criteria group decision-making approach for teacher selection in higher education, International Journal of Computer Applications 34(10) (2011), 21-29.
M. G. Voskoglou, Fuzzy logic as a tool for assessing students’ knowledge and skills, Education Sciences 3(2) (2013), 208-221.
F. Wang and M. Chen, A fuzzy logic-based approach to curriculum design, Educational Technology and Society 13(2) (2010), 182-193.
L. A. Zadeh, Fuzzy sets, Information and Control 8(3) (1965), 338-353.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 PUSHPA PUBLISHING HOUSE, PRAYAGRAJ, INDIA
This work is licensed under a Creative Commons Attribution 4.0 International License.
_________________________
Attribution: Credit Pushpa Publishing House as the original publisher, including title and author(s) if applicable.
Non-Commercial Use: For non-commercial purposes only. No commercial activities without explicit permission.
No Derivatives: Modifying or creating derivative works not allowed without written permission.
Contact Pusha Publishing House for more info or permissions.
Publication count: 
Citation count: 
Google h-index: 
Downloads: 