Multiple attribute decision making based on Pythagorean fuzzy Aczel-Alsina average aggregation operators

被引：26

作者：

Senapati T. ^{[1
]}

Chen G. ^{[1
]}

Mesiar R. ^{[2
,3
]}

Saha A. ^{[4
]}

机构：

[1] School of Mathematics and Statistics, Southwest University, Chongqing, Beibei

[2] Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, Bratislava

[3] Department of Algebra and Geometry, Faculty of Science, Palacky Univ Olomouc, 17 Listopadu 12, Olomouc

[4] Department of Engineering Mathematics, College of Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram

来源：

Journal of Ambient Intelligence and Humanized Computing | 2023年 / 14卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Aczel-Alsina operations; MADM; Pythagorean fuzzy Aczel-Alsina average aggregation operators; Pythagorean fuzzy elements;

D O I：

10.1007/s12652-022-04360-4

中图分类号：

学科分类号：

摘要：

A useful expansion of the intuitionistic fuzzy set (IFS) for dealing with ambiguities in information is the Pythagorean fuzzy set (PFS), which is one of the most frequently used fuzzy sets in data science. Due to these circumstances, the Aczel-Alsina operations are used in this study to formulate several Pythagorean fuzzy (PF) Aczel-Alsina aggregation operators, which include the PF Aczel-Alsina weighted average (PFAAWA) operator, PF Aczel-Alsina order weighted average (PFAAOWA) operator, and PF Aczel-Alsina hybrid average (PFAAHA) operator. The distinguishing characteristics of these potential operators are studied in detail. The primary advantage of using an advanced operator is that it provides decision-makers with a more comprehensive understanding of the situation. If we compare the results of this study to those of prior strategies, we can see that the approach proposed in this study is more thorough, more precise, and more concrete. As a result, this technique makes a significant contribution to the solution of real-world problems. Eventually, the suggested operator is put into practise in order to overcome the issues related to multi-attribute decision-making under the PF data environment. A numerical example has been used to show that the suggested method is valid, useful, and effective. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

引用

页码：10931 / 10945

页数：14

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