Li Yuxin, Liu Yao, Zhao Dan
Internet and New Media, The Engineering & Technical College of Chengdu University of Technology, Sichuan Province, Leshan City, 614000, China.
E-Commerce Major, The Engineering & Technical College of Chengdu University of Technology, Sichuan Province, Leshan City, 614000, China.
Sci Rep. 2025 Jul 2;15(1):23349. doi: 10.1038/s41598-025-04683-0.
The network of millions of linked devices that exchange resources is known as the Internet. The rapid expansion of digital connectivity necessitates an assessment and understanding of its multifaceted impact on younger generations. There are many benefits and drawbacks to using the Internet, including issues with human health, education and learning habits, communication and relationships, and privacy and security. Almost every area of life involves some degree of uncertainty and fuzziness. The best method for practically reducing ambiguity when determining the best option from fuzzy and uncertain data is multi-attribute decision-making (MADM). The research aims to develop a comprehensive decision framework for examining Internet effects on youth generations through fundamental behavioral and social elements. So, in this regard, the Intuitionistic Hesitant Fuzzy set (IHFS) is an effective and flexible tool for the investigation of uncertain information. The Sugeno-Weber operational (SWO) rules are a more generalized and flexible approach than other existing triangular norms (TN) and triangular conorm (TCN). Using SWOs and IHFS information, we construct the intuitionistic hesitant fuzzy Sugeno-Weber weighted averaging (IHFSWWA) and intuitionistic hesitant fuzzy Sugeno-Weber weighted geometric (IHFSWWG) operators. Also, we investigate some fundamental axioms of aggregation operators (AOs), like monotonicity, boundedness, and idempotency. We construct the MADM algorithm based on the developed theory, and some solve real-life numerical examples for assessment of factors affecting the new generations given the internet. To validate the effectiveness and practical applicability, a comparison analysis was conducted between the proposed IHFSWWA and IHFSWWG approaches with existing AOs. The conclusion is discussed in the last section.
数百万相互连接并交换资源的设备网络被称为互联网。数字连接的迅速扩展使得有必要评估和理解其对年轻一代的多方面影响。使用互联网有许多利弊，包括人类健康、教育和学习习惯、沟通与人际关系以及隐私和安全等问题。生活的几乎每个领域都涉及一定程度的不确定性和模糊性。在从模糊和不确定的数据中确定最佳选项时，实际减少模糊性的最佳方法是多属性决策（MADM）。该研究旨在通过基本的行为和社会因素，开发一个全面的决策框架来审视互联网对年轻一代的影响。因此，在这方面，直觉犹豫模糊集（IHFS）是研究不确定信息的一种有效且灵活的工具。与其他现有的三角范数（TN）和三角余范数（TCN）相比，Sugeno - Weber运算（SWO）规则是一种更通用、更灵活的方法。利用SWO和IHFS信息，我们构建了直觉犹豫模糊Sugeno - Weber加权平均（IHFSWWA）算子和直觉犹豫模糊Sugeno - Weber加权几何（IHFSWWG）算子。此外，我们研究了聚合算子（AO）的一些基本公理，如单调性、有界性和幂等性。我们基于所发展的理论构建了MADM算法，并求解了一些实际数值示例，以评估互联网对新一代的影响因素。为了验证有效性和实际适用性，将所提出的IHFSWWA和IHFSWWG方法与现有的AO进行了比较分析。最后一部分讨论了结论。
