IEEE Access (Jan 2024)

Dombi Aggregation Operators for <italic>p, qr</italic>&#x2013;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
https://doi.org/10.1109/ACCESS.2023.3346916
Journal volume & issue
Vol. 12
pp. 10366 – 10382

Abstract

Read online

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 decision-making (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