
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 4
July-August 2025
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A Framework For Adaptive E-Learning Module Recommendation Using Intuitionistic Fuzzy Sets And Euclidean Distance
Author(s) | Dr. Senthilkumar A, Ms. Vinupriya P |
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Country | India |
Abstract | Intuitionistic Fuzzy Set which extends classical fuzzy sets by incorporating both membership and non-membership degrees along with hesitation, provide a richer way to model uncertainty. This paper introduces an innovative framework for intelligent E-learning recommendation systems by integrating intuitionistic fuzzy sets (IFS), Euclidean distance metrics, and pattern recognition techniques. The proposed model effectively captures both learner’s confidence (membership) and hesitation (non-membership) levels, providing detailed representations of individual learning profiles. The minimal Euclidean distance identifies the most similar student profiles enabling precise personalized recommendations and data driven instructional decisions. |
Keywords | Intuitionistic fuzzy sets, Euclidean distance, E-learning, pattern recognition, personalized recommendation. |
Field | Mathematics |
Published In | Volume 7, Issue 4, July-August 2025 |
Published On | 2025-07-25 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i04.51948 |
Short DOI | https://doi.org/g9vpx5 |
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E-ISSN 2582-2160

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