Affiliations: [a] Department of Mathematics and Statistics, Hazara University, Mansehra, KPK, Pakistan
| [b]
Future University in Egypt, New Cairo, Egypt
| [c]
Cairo University, Faculty of Computers and Artificial Intelligence, Giza, Egypt
| [d] Department of Mathematics, College of Science and Arts, Qassim University, Al-Badaya, Saudi Arabia
| [e] Department of Operations and Management Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt
Correspondence:
[*]
Corresponding author. Muhammed Rahim, Department of Mathematics and Statistics, Hazara University, Mansehra 21300, PK, Pakistan. E-mail: [email protected].
Abstract: In this study, we introduce The p, q-quasirung orthopair fuzzy Dombi operators, including p, q-quasirung orthopair fuzzy Dombi weighted averaging (p, q-QOFDWA), p, q-quasirung orthopair fuzzy Dombi ordered weighted averaging (p, q-QOFDOWA), p, q-quasirung orthopair fuzzy Dombi weighted geometric (p, q-QOFDWG), and p, q-quasirung orthopair fuzzy Dombi ordered weighted geometric (p, q-QOFDOWG) operators. These operators effectively manage imprecise and uncertain information, outperforming other fuzzy sets like the Pythagorean fuzzy set (PFS) and q-rung orthopair fuzzy set (q-ROFS). We investigate their properties, including boundedness and monotonicity, and demonstrate their applicability in multiple criteria decision-making (MCDM) problems within a p, q-quasirung orthopair fuzzy (p, q-QOF) environment. To showcase the practicality, we present a real-world scenario involving the selection of investment alternatives as an illustrative example. Our findings highlight the significant advantage and potential of these operators for handling uncertainty in decision-making.
