基于复杂 q 级正对模糊 2 元组语言麦克劳林对称均值聚合算子的扩展 COPRAS 方法

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-03-16 DOI:10.1007/s12652-023-04742-2
Sumera Naz, Rida Mehreen, Tahir Abbas, Gabriel Piñeres-Espitia, Shariq Aziz Butt
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引用次数: 0

摘要

复杂q-rung正对模糊2元组语言集(Cq-ROFTLS)融合了复杂q-rung正对模糊集(Cq-ROFS)和2元组语言术语的概念,通过在单个集合中有效表示二维信息,在决策过程中处理不确定和不精确信息方面具有显著优势。值得注意的是,Cq-ROFTLS 引入了阶段术语,使专家能够灵活地表达自己的观点,尤其增强了其处理周期性要素的能力。为解决不确定性问题,该方法采用了复杂值来量化二元语言环境中的成员和非成员程度。此外,本研究还引入了广义麦克劳林对称均值(MSM)聚合算子,专门为 Cq-ROFTL 信息而设计。这就引入了 Cq-ROFTLMSM 及其对偶形式--Cq-ROFTL 双 MSM(Cq-ROFTLDMSM),每种形式都具有宝贵的特性。在输入因素的重要性不同的情况下,研究提出了 Cq-ROFTL 加权 MSM(Cq-ROFTLWMSM)及其对偶形式,即 Cq-ROFTL 加权双 MSM(Cq-ROFTLWDMSM)。这些算子不仅首次亮相,还展示了它们的特性和应用。它们能根据输入的重要性进行灵活调整,从而实现更精细的决策过程。该方法利用复杂比例评估(COPRAS)方法,在 Cq-ROFTL 框架内扩展到多属性群体决策(MAGDM)。新汇总技术的引入进一步增强了这一方法。通过选择最佳生物能源生产技术(BPT)的实际例子,突出了该方法在现实世界中的有效性。通过全面的比较和对优势的集中探索,该研究有效地验证了这一方法的优点。
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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An extended COPRAS method based on complex q-rung orthopair fuzzy 2-tuple linguistic Maclaurin symmetric mean aggregation operators

The complex q-rung orthopair fuzzy 2-tuple linguistic set (Cq-ROFTLS), which merges the concepts of complex q-rung orthopair fuzzy sets (Cq-ROFS) and 2-tuple linguistic terms, offers significant advantages in dealing with uncertain and imprecise information during decision-making by effectively representing two-dimensional information within a single set. Notably, the Cq-ROFTLS introduces phase terms that empower experts to express their perspectives flexibly, particularly enhancing its capacity to address periodic elements. To address uncertainty, this approach employs complex values to quantify both membership and non-membership degrees within 2-tuple linguistic environment. Additionally, this research introduces the generalized Maclaurin symmetric mean (MSM) aggregation operator, specifically designed for Cq-ROFTL information. This introduces the Cq-ROFTLMSM and its dual form, the Cq-ROFTL Dual MSM (Cq-ROFTLDMSM), each carrying valuable properties. In cases where the importance of input factors varies, the study proposes the Cq-ROFTL weighted MSM (Cq-ROFTLWMSM) and its dual form, the Cq-ROFTL weighted dual MSM (Cq-ROFTLWDMSM). These operators not only make their debut but also showcase their properties and applications. They flexibly adjust to the significance of inputs, leading to a more refined decision-making process. The methodology extends to address multi-attribute group decision-making (MAGDM) within the Cq-ROFTL framework using the Complex Proportional Assessment (COPRAS) method. The introduction of new aggregation techniques further enhances this approach. A practical illustration involving the selection of the optimal bio-energy production technology (BPT) highlights the real-world effectiveness of the methodology. Through thorough comparisons and a focused exploration of advantages, the study effectively validates the merits of this approach.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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