Advances in Fuzzy Sets and Systems

The Advances in Fuzzy Sets and Systems publishes original research papers in the field of fuzzy sets and systems, covering topics such as artificial intelligence, robotics, decision-making, and data analysis. It also welcomes papers on variants of fuzzy sets and algorithms for computational work.

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UTILIZING FUZZY SET THEORY IN IMPROVING EDUCATION SYSTEM, CHALLENGES AND FUTURE DIRECTIONS

Authors

  • Anita

Keywords:

fuzzy set theory (FST), personalized learning, student assessment, adaptive learning systems, educational decision-making

DOI:

https://doi.org/10.17654/0973421X25001

Abstract

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

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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.

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Published

2025-06-20

Issue

Section

Articles

How to Cite

UTILIZING FUZZY SET THEORY IN IMPROVING EDUCATION SYSTEM, CHALLENGES AND FUTURE DIRECTIONS. (2025). Advances in Fuzzy Sets and Systems, 30(1). https://doi.org/10.17654/0973421X25001

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