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Novel Aczel–Alsina operations-based interval-valued intuitionistic fuzzy aggregation operators and their applications in multiple attribute decision-making process
International Journal of Intelligent Systems ( IF 7 ) Pub Date : 2021-11-30 , DOI: 10.1002/int.22751
Tapan Senapati 1, 2 , Guiyun Chen 1 , Radko Mesiar 3, 4 , Ronald R. Yager 5, 6
Affiliation  

In the creation of better multiple attribute decision-making (MADM) patterns to address the ambiguity in the expanding sophisticated of expert systems, the hypothesis of interval-valued intuitionistic fuzzy sets has proven to be an effective and advantageous technique. We employ Aczel–Alsina operations to remedy the MADM issue, wherein all data supplied by decision-makers is conveyed as interval-valued intuitionistic fuzzy (IVIF) decision matrices with all components described by an IVIF number (IVIFN). This allows us to satisfy much more demands from fuzzy decision-making concerns (IVIFN). In the framework of IVIFNs, we primarily describe several novel Aczel–Alsina operations. On the basis of these operations, we construct several novel IVIF aggregation operators, such as the IVIF Aczel–Alsina weighted averaging operator, the IVIF Aczel–Alsina order weighted averaging operator, and IVIF Aczel–Alsina hybrid averaging operator. We built up several features of such operators. We recommend an MADM technique dependent on the advanced IVIF aggregation operators. To demonstrate the effectiveness of the developed technique, we present an overview of research scientist selection. The experimental results show the viability and benefits of the created strategy by contrasting it with the different strategies. This paper reveals that some existing IVIF aggregation operators are particular instances of the operators induced in this paper.

中文翻译:

新型Aczel-Alsina基于区间值直觉模糊聚合算子及其在多属性决策过程中的应用

在创建更好的多属性决策 (MADM) 模式以解决扩展复杂的专家系统中的模糊性时,区间值直觉模糊集的假设已被证明是一种有效且有利的技术。我们采用 Aczel-Alsina 操作来解决 MADM 问题,其中决策者提供的所有数据都以区间值直觉模糊 (IVIF) 决策矩阵的形式传达,所有组件均由 IVIF 数 (IVIFN) 描述。这使我们能够满足来自模糊决策问题 (IVIFN) 的更多需求。在 IVIFN 的框架内,我们主要描述了几个新的 Aczel-Alsina 操作。在这些操作的基础上,我们构造了几个新颖的 IVIF 聚合算子,例如 IVIF Aczel-Alsina 加权平均算子,IVIF Aczel-Alsina 阶加权平均算子和 IVIF Aczel-Alsina 混合平均算子。我们构建了此类运算符的几个功能。我们推荐一种依赖于高级 IVIF 聚合算子的 MADM 技术。为了证明所开发技术的有效性,我们概述了研究科学家的选择。实验结果通过将其与不同策略进行对比,显示了所创建策略的可行性和优势。本文揭示了一些现有的IVIF聚合算子是本文引出的算子的特例。为了证明所开发技术的有效性,我们概述了研究科学家的选择。实验结果通过将其与不同策略进行对比,显示了所创建策略的可行性和优势。本文揭示了一些现有的IVIF聚合算子是本文引出的算子的特例。为了证明所开发技术的有效性,我们概述了研究科学家的选择。实验结果通过将其与不同策略进行对比,显示了所创建策略的可行性和优势。本文揭示了一些现有的IVIF聚合算子是本文引出的算子的特例。
更新日期:2021-11-30
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