Academic Journal
Artificial intelligent Global Online Learning (GOL) theory by generalized n-ary fuzzy relation
| العنوان: | Artificial intelligent Global Online Learning (GOL) theory by generalized n-ary fuzzy relation |
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| المؤلفون: | Amini, Abbas (R17786), Firouzkouhi, N., Nazari, M., Ghareeb, N., Cheng, C., Davvaz, B. |
| بيانات النشر: | Netherlands, Springer |
| سنة النشر: | 2024 |
| المجموعة: | University of Western Sydney (UWS): Research Direct |
| مصطلحات موضوعية: | XXXXXX - Unknown |
| الوصف: | Following the devastating COVID pandemic, a new global strategy is required to switch from traditional education to blended or online learning method. Nevertheless, there is no adamant theoretical base available for such an important transition or similar situations in the future. On the other hand, educational systems encounter uncertainty as an integral part of multilayered teaching routes. To analyze the interactions among interconnected entities, soft computing methodologies can serve as an efficient tool to manage such systems with uncertain information through incorporating artificial intelligence (AI) techniques for assessing students performances. Nevertheless, the classical binary fuzzy relation and other existing theoretical models are not capable of explaining/configuring uncertain-based datum for multiplex correlations. To fill these gaps, the present study establishes a neoteric AI-base “Global Online Learning (GOL) theory” using the newly developed n-ary relation and n-ary fuzzy relation as the generalization of classical and binary fuzzy relations. Through the enhanced mathematical concepts and intelligent soft computing techniques, the convoluted multilayer relationships of entities can be punctiliously assessed for different values of n. Furthermore, a network-based perspective is proposed as a promising systematic model when systems are imperfect and prone to uncertainty. In the provided graphical context, the n-ary relation represents the hypergraph pattern, while the n-ary fuzzy relation refers to the generalized fuzzy hypergraph model. Fundamental characteristics of n-ary fuzzy relation, including reflexive, symmetric, transitive, composition, t-cut, support and Cartesian product, are systematically provided to extract mathematical interrelated expressions, as well as parametric connection between t-cut and Cartesian product. Based on the n-ary fuzzy relation, the n-ary fuzzy hyperoperation “∘ρ” is assigned to construct fuzzy hyperalgebra as the extension of classical algebra with ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | |
| اللغة: | English |
| Relation: | Artificial Intelligence Review--0269-2821--1573-7462 Vol. 57 Issue. 3 No. 68 pp: - |
| DOI: | 10.1007/s10462-023-10691-1 |
| الاتاحة: | https://doi.org/10.1007/s10462-023-10691-1 https://hdl.handle.net/1959.7/uws:76615 |
| Rights: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| رقم الانضمام: | edsbas.90CF60DB |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/s10462-023-10691-1 |
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