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Research Article | Open Access

Three-way decisions with complex q-rung orthopair 2-tuple linguistic decision-theoretic rough sets based on generalized Maclaurin symmetric mean operators

Zeeshan Ali1Tahir Mahmood1( )Muhammad Bilal Khan2( )
Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad 44000, Pakistan
Department of Mathematics, COMSATS University Islamabad, Islamabad 44000, Pakistan
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Abstract

In this manuscript, we generalized the notions of three-way decisions (3WD) and decision theoretic rough sets (DTRS) in the framework of Complex q-rung orthopair 2-tuple linguistic variables (CQRO2-TLV) and then deliberated some of its important properties. Moreover, we considered some very useful and prominent aggregation operators in the framework of CQRO2-TLV, while further observing the importance of the generalized Maclurin symmetric mean (GMSM) due to its applications in symmetry analysis, interpolation techniques, analyzing inequalities, measuring central tendency, mathematical analysis and many other real life problems. We initiated complex q-rung orthopair 2-tuple linguistic (CQRO2-TL) information and GMSM to introduce the CQRO2-TL GMSM (CQRO2-TLGMSM) operator and the weighted CQRO2-TL GMSM (WCQRO2-TLGMSM) operator, and then demonstrated their properties such as idempotency, commutativity, monotonicity and boundedness. We also investigated a CQRO2-TL DTRS model. In the end, a comparative study is given to prove the authenticity, supremacy, and effectiveness of our proposed notions.

CLC number: 03B52, 03E72, 28E10, 68T27, 94D05

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AIMS Mathematics
Pages 17943-17980

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Cite this article:
Ali Z, Mahmood T, Khan MB. Three-way decisions with complex q-rung orthopair 2-tuple linguistic decision-theoretic rough sets based on generalized Maclaurin symmetric mean operators. AIMS Mathematics, 2023, 8(8): 17943-17980. https://doi.org/10.3934/math.2023913

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Received: 04 February 2023
Revised: 04 March 2023
Accepted: 02 April 2023
Published: 15 August 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)