Mahboob Abid, Ullah Zafar, Ovais Ali, Rasheed Muhammad Waheed, Edalatpanah S A, Yasin Kainat
Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan.
Department of Mathematics, University of Engineering and Technology, Lahore, Pakistan.
Front Artif Intell. 2024 Mar 14;7:1347626. doi: 10.3389/frai.2024.1347626. eCollection 2024.
The impact of artificial intelligence (AI) in education can be viewed as a multi-attribute group decision-making (MAGDM) problem, in which several stakeholders evaluate the advantages and disadvantages of AI applications in educational settings according to distinct preferences and criteria. A MAGDM framework can assist in providing transparent and logical recommendations for implementing AI in education by methodically analyzing the trade-offs and conflicts among many components, including ethical, social, pedagogical, and technical concerns. A novel development in fuzzy set theory is the 2-tuple linguistic -rung orthopair fuzzy set (2TL-ROFS), which is not only a generalized form but also can integrate decision-makers quantitative evaluation ideas and qualitative evaluation information. The 2TL-ROF Schweizer-Sklar weighted power average operator (2TL-ROFSSWPA) and the 2TL-ROF Schweizer-Sklar weighted power geometric (2TL-ROFSSWPG) operator are two of the aggregation operators we create in this article. We also investigate some of the unique instances and features of the proposed operators. Next, a new Entropy model is built based on 2TL-ROFS, which may exploit the preferences of the decision-makers to obtain the ideal objective weights for attributes. Next, we extend the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique to the 2TL-ROF version, which provides decision-makers with a greater space to represent their decisions, while also accounting for the uncertainty inherent in human cognition. Finally, a case study of how artificial intelligence has impacted education is given to show the applicability and value of the established methodology. A comparative study is carried out to examine the benefits and improvements of the developed approach.
人工智能（AI）在教育中的影响可被视为一个多属性群决策（MAGDM）问题，其中多个利益相关者根据不同的偏好和标准评估AI在教育环境中的优缺点。一个MAGDM框架可以通过系统地分析包括伦理、社会、教学和技术问题在内的多个组成部分之间的权衡和冲突，协助为在教育中实施AI提供透明且合乎逻辑的建议。模糊集理论的一个新发展是二元组语言梯级正交对模糊集（2TL - ROFS），它不仅是一种广义形式，还能整合决策者的定量评估思想和定性评估信息。本文创建的两个聚合算子是2TL - ROF Schweizer - Sklar加权幂平均算子（2TL - ROFSSWPA）和2TL - ROF Schweizer - Sklar加权幂几何（2TL - ROFSSWPG）算子。我们还研究了所提出算子的一些独特情况和特征。接下来，基于2TL - ROFS构建了一个新的熵模型，该模型可以利用决策者的偏好来获得属性的理想客观权重。接下来，我们将VIseKriterijumska Optimizacija I Kompromisno Resenje（VIKOR）技术扩展到2TL - ROF版本，这为决策者提供了更大的决策表示空间，同时也考虑到了人类认知中固有的不确定性。最后，给出了一个关于人工智能如何影响教育的案例研究，以展示所建立方法的适用性和价值。进行了一项比较研究，以检验所开发方法的优点和改进之处。
