Multi-criteria group decision-making based on dombi aggregation operators under p, q-quasirung orthopair fuzzy sets

Author:

Rahim Muhammad1,Tag Eldin ElSayed M.2,Khan Salma1,Ghamry Nivin A.3,Alanzi Agaeb Mahal4,Khalifa Hamiden Abd El-Wahed45

Affiliation:

1. Department of Mathematics and Statistics, Hazara University, Mansehra, KPK, Pakistan

2. Future University in Egypt, New Cairo, Egypt

3. Cairo University, Faculty of Computers and Artificial Intelligence, Giza, Egypt

4. Department of Mathematics, College of Science and Arts, Qassim University, Al-Badaya, Saudi Arabia

5. Department of Operations and Management Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

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.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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