Dombi Aggregation Operators for p, qr-Spherica Fuzzy Sets: Application in the Stability Assessment of Cryptocurrencies

Momna Akhtar; Muhammad Rahim; Agaeb Mahal Alanzi; Sadique Ahmad; Joseph Malose Fatlane; Maggie Aphane; Hamiden Abd El Wahed Khalifa

doi:10.1109/ACCESS.2023.3346916

Dombi Aggregation Operators for p, qr-Spherica Fuzzy Sets: Application in the Stability Assessment of Cryptocurrencies

Momna Akhtar, Muhammad Rahim^*, Agaeb Mahal Alanzi, Sadique Ahmad, Joseph Malose Fatlane, Maggie Aphane, Hamiden Abd El Wahed Khalifa

^*Corresponding author for this work

Mathematics and Applied Mathematics

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper presents novel operational laws for p, q, r-spherical fuzzy sets (p, q, r-SFSs) by harnessing the Dombi t-norm (DTN) and t-conorm (DTCN). These laws serve as the foundation for a set of aggregation operators (AOs) designed to consolidate p, q, r-spherical fuzzy (p, q, r-SF) information. Additionally, a multi-criteria decision-making (MCDM) method is outlined for addressing practical decisionmaking (DM) challenges. To demonstrate the application of the proposed approach, a numerical example is offered. Furthermore, we conducted a comparative study to validate the efficacy of the suggested approach. Finally, we discuss both the advantages and limitations of this innovative approach.

Original language	English
Pages (from-to)	10366-10382
Number of pages	17
Journal	IEEE Access
Volume	12
DOIs	https://doi.org/10.1109/ACCESS.2023.3346916
Publication status	Published - 2024

Keywords

MDCM
aggregation operators
decision making
optimization
p,q,r-SFSs

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10.1109/ACCESS.2023.3346916

Cite this

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title = "Dombi Aggregation Operators for p, qr-Spherica Fuzzy Sets: Application in the Stability Assessment of Cryptocurrencies",

abstract = "This paper presents novel operational laws for p, q, r-spherical fuzzy sets (p, q, r-SFSs) by harnessing the Dombi t-norm (DTN) and t-conorm (DTCN). These laws serve as the foundation for a set of aggregation operators (AOs) designed to consolidate p, q, r-spherical fuzzy (p, q, r-SF) information. Additionally, a multi-criteria decision-making (MCDM) method is outlined for addressing practical decisionmaking (DM) challenges. To demonstrate the application of the proposed approach, a numerical example is offered. Furthermore, we conducted a comparative study to validate the efficacy of the suggested approach. Finally, we discuss both the advantages and limitations of this innovative approach.",

keywords = "MDCM, aggregation operators, decision making, optimization, p,q,r-SFSs",

author = "Momna Akhtar and Muhammad Rahim and Alanzi, {Agaeb Mahal} and Sadique Ahmad and Fatlane, {Joseph Malose} and Maggie Aphane and Khalifa, {Hamiden Abd El Wahed}",

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year = "2024",

doi = "10.1109/ACCESS.2023.3346916",

language = "English",

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pages = "10366--10382",

journal = "IEEE Access",

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T2 - Application in the Stability Assessment of Cryptocurrencies

AU - Akhtar, Momna

AU - Rahim, Muhammad

AU - Alanzi, Agaeb Mahal

AU - Ahmad, Sadique

AU - Fatlane, Joseph Malose

AU - Aphane, Maggie

AU - Khalifa, Hamiden Abd El Wahed

PY - 2024

Y1 - 2024

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AB - This paper presents novel operational laws for p, q, r-spherical fuzzy sets (p, q, r-SFSs) by harnessing the Dombi t-norm (DTN) and t-conorm (DTCN). These laws serve as the foundation for a set of aggregation operators (AOs) designed to consolidate p, q, r-spherical fuzzy (p, q, r-SF) information. Additionally, a multi-criteria decision-making (MCDM) method is outlined for addressing practical decisionmaking (DM) challenges. To demonstrate the application of the proposed approach, a numerical example is offered. Furthermore, we conducted a comparative study to validate the efficacy of the suggested approach. Finally, we discuss both the advantages and limitations of this innovative approach.

KW - MDCM

KW - aggregation operators

KW - decision making

KW - optimization

KW - p,q,r-SFSs

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Dombi Aggregation Operators for p, qr-Spherica Fuzzy Sets: Application in the Stability Assessment of Cryptocurrencies

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Keywords

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