Article,
Dynamic Aggregation Operators for Optimal Biometric-Based Attendance Device Selection Under Complex Fermatean Fuzzy Environment
Contributors
Alghazzawi, Dilshad
0000-0002-8330-2818
[1]
Razaq, Abdul
0000-0002-1898-4082
[2]
Khalifa, Hamiden Abd El-Wahed
0000-0003-1916-0998
[4]
Xin, Qin
0000-0002-6178-8538
[6]
Affiliations
- [1] King Abdulaziz Univ, Coll Sci & Arts, Dept Math, Rabigh, Saudi Arabia [NORA names: Saudi Arabia; Asia, Middle East];
- [2] Univ Educ, Dept Math, Div Sci & Technol, Lahore 54770, Pakistan [NORA names: Pakistan; Asia, South];
- [3] King Saud Univ, Coll Sci, Dept Math, Riyadh 145111, Saudi Arabia [NORA names: Saudi Arabia; Asia, Middle East];
- [4] Qassim Univ, Coll Sci, Dept Math, Buraydah 51452, Saudi Arabia [NORA names: Saudi Arabia; Asia, Middle East];
- [5] United Arab Emirates Univ, Dept Stat & Business Analyt, Al Ain, U Arab Emirates [NORA names: United Arab Emirates; Asia, Middle East];
(... more)
Abstract
Selecting the right Biometric-Based Attendance Device (BBAD) is pivotal for enhancing security, operations, and compliance in today's dynamic environment of identity authentication.Addressing the complexities arising from uncertainty and periodicity, the Complex Fermatean Fuzzy Set (CFFS) theory emerges as adept, encapsulating comprehensive problem specifications. This study introduces two innovative aggregation operators within the CFFS framework: the Complex Fermatean Fuzzy Dynamic Weighted Averaging (CFFDWA) and the Complex Fermatean Fuzzy Dynamic Weighted Geometric (CFFDWG) operators. Some important characteristics of the newly defined operators are established. The shortcomings in the existing score function are rectified along with the introduction of a novel enhanced score function under complex Fermatean fuzzy environment. Moreover, these operators contribute to a systematic framework for handling Multiple Attribute Decision Making (MADM) problems involving complex Fermatean fuzzy information. The article exemplifies their application in resolving a MADM problem, determining the optimal model of BBAD. Finally, to validate the derived methodologies, a thorough comparison study is carried out, demonstrating the superiority of the presented operators against various existing operators.
