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Complex Interval-Valued q-Rung Orthopair 2-Tuple Linguistic Aggregation Operators and Their Application in Multi-Attribute Decision-Making.

Authors :
Shouzhen Zeng
Ali, Zeeshan
Mahmood, Tahir
Huanhuan Jin
Source :
Applied Artificial Intelligence; 2022, Vol. 36 Issue 1, p1-34, 34p
Publication Year :
2022

Abstract

This study aims to study the conception of the complex interval-valued q-rung orthopair 2-tuple linguistic set (CIVQRO2-TLS), which is a new powerful mixture to handle unreliable and vague data in realistic decision concerns. We also explore its fundamental properties as well as important laws. In the occurrence of the above theory, we discover some useful aggregation methods for the CIVQRO2-TLS, including the CIVQRO2-TLWA, CIVQRO2-TLOWA, CIVQRO2-TLHA, CIVQRO2-TLWG, CIVQRO2-TLOWG, and CIVQRO2-TLHG operators. To demonstrate the beneficial features of the invented works, a multi-attribute decision-making (MADM) system is presented and exposed to the supremacy of the presented operators with the help of several examples. In last, we elaborate on the advantages, comparative analysis, and graphical interpretation of the invented approaches. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08839514
Volume :
36
Issue :
1
Database :
Complementary Index
Journal :
Applied Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
160876858
Full Text :
https://doi.org/10.1080/08839514.2022.2033471