基于2型直觉模糊爱因斯坦交互加权聚合算子的最优网络学习工具选择

Q3 Computer Science

International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI:10.4018/ijfsa.312242

Sireesha Veeramachaneni, A. V

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引用次数: 0

摘要

不仅日常生活活动受到COVID-19大流行的干扰，教育系统也受到了影响。在某种程度上，鼓励使用电子学习技术有助于稳定局势。在信息不确定的情况下，为机构选择合适的电子学习平台取决于不同的标准。由于2型直觉模糊(T2IF)集在概念上很有趣，并且它们为处理专家知识中的不确定性提供了许多表达潜力，因此本工作研究了2型直觉模糊环境中高等教育的最佳电子学习工具。为此提出了一种2型直觉模糊爱因斯坦交互加权平均算子(T2IFEIWA)。验证了所提出的聚合算子的理想属性，并使用该算子选择最佳的电子学习工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Selection of Optimal E-Learning Tool with Type-2 Intuitionistic Fuzzy Einstein Interactive Weighted Aggregation Operator

Not only are daily life activities being disrupted by the COVID-19 pandemic, but so are educational systems. To some extent, encouraging the use of e-learning technology has helped to stabilize the situation. The suitable selection of the appropriate e-learning platform for the institution depends upon different criteria with uncertain information. As type 2 intuitionistic fuzzy (T2IF) sets are conceptually intriguing and they provide a lot of expressive potential for dealing with uncertainty in expert knowledge, this work investigates the best e-learning tool for higher education in a type 2 intuitionistic fuzzy environment. A type-2 intuitionistic fuzzy einstein interactive weighted averaging (T2IFEIWA) operator is proposed for this purpose. The desirable properties of the proposed aggregation operator are validated, and the operator is used to choose the best e-learning tool.

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来源期刊

International Journal of Fuzzy System Applications Computer Science-Computer Science (all)

CiteScore

2.40

自引率

0.00%

发文量