Multi-criteria group decision-making based on dombi aggregation operators under p, q-quasirung orthopair fuzzy sets

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Intelligent & Fuzzy Systems Pub Date : 2023-10-26 DOI:10.3233/jifs-233327

Muhammad Rahim, ElSayed M. Tag Eldin, Salma Khan, Nivin A. Ghamry, Agaeb Mahal Alanzi, Hamiden Abd El-Wahed Khalifa

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引用次数: 0

Abstract

In this study, we introduce The p, q-quasirung orthopair fuzzy Dombi operators, including p, q-quasirung orthopair fuzzy Dombi weighted averaging (p, q-QOFDWA), p, q-quasirung orthopair fuzzy Dombi ordered weighted averaging (p, q-QOFDOWA), p, q-quasirung orthopair fuzzy Dombi weighted geometric (p, q-QOFDWG), and p, q-quasirung orthopair fuzzy Dombi ordered weighted geometric (p, q-QOFDOWG) operators. These operators effectively manage imprecise and uncertain information, outperforming other fuzzy sets like the Pythagorean fuzzy set (PFS) and q-rung orthopair fuzzy set (q-ROFS). We investigate their properties, including boundedness and monotonicity, and demonstrate their applicability in multiple criteria decision-making (MCDM) problems within a p, q-quasirung orthopair fuzzy (p, q-QOF) environment. To showcase the practicality, we present a real-world scenario involving the selection of investment alternatives as an illustrative example. Our findings highlight the significant advantage and potential of these operators for handling uncertainty in decision-making.

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p, q-拟环正形模糊集下基于dombi聚集算子的多准则群决策

在本研究中，我们引入了p、q、q-拟隆矫形模糊东比算子，包括p、q-拟隆矫形模糊东比加权平均(p, q-QOFDWA)、p、q-拟隆矫形模糊东比有序加权平均(p, q-QOFDOWA)、p、q-拟隆矫形模糊东比加权几何(p, q-QOFDWG)和p、q-拟隆矫形模糊东比有序加权几何(p, q-QOFDOWG)算子。这些算子有效地管理不精确和不确定的信息，优于其他模糊集，如毕达哥拉斯模糊集(PFS)和q-rung正形模糊集(q-ROFS)。我们研究了它们的有界性和单调性，并证明了它们在p, q-拟环正交模糊(p, q-QOF)环境下的多准则决策(MCDM)问题中的适用性。为了展示其实用性，我们提出了一个涉及投资选择的现实场景作为说明性示例。我们的研究结果强调了这些运营商在处理决策不确定性方面的显著优势和潜力。

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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来源期刊

Journal of Intelligent & Fuzzy Systems 工程技术-计算机：人工智能

CiteScore

3.40

自引率

10.00%

发文量

965

审稿时长

5.1 months

期刊介绍： The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.