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

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)10366-10382
Number of pages17
JournalIEEE Access
Volume12
DOIs
Publication statusPublished - 2024

Keywords

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

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