Dynamic Aggregation Operators for Selection of Optimal Communication System in the Rescue Department Under Complex q-rung Orthopair Fuzzy Environment

Fakiha Ijaz; Muhammad Azeem; Jawad Ali

doi:10.31181/sdmap31202646

Authors

Fakiha Ijaz Department of Mathematics and Statistics, University of Agriculture Faisalabad 38000, Pakistan Author https://orcid.org/0000-0001-5124-8485
Muhammad Azeem Mathematical Institute Slovak Academy of Sciences, Banska Bystrica 197411, Slovakia Author https://orcid.org/0000-0002-8074-5883
Jawad Ali Institute of Numerical Sciences, Kohat University of Science and Technology, KPK, Pakistan Author https://orcid.org/0000-0002-3372-0034

DOI:

https://doi.org/10.31181/sdmap31202646

Keywords:

Complex q-rung Orthopair Fuzzy Sets, Cq-ROFDWA operator, Cq-ROFDWG operator, Optimization, Decision making

Abstract

Selecting the advanced communication system for the rescue department is pivotal for enhancing coordination, operations, and effectiveness in today’s dynamic environment. Addressing the complexities arising from uncertainty and periodicity, the Complex q-rung Orthopair Fuzzy Set theory emerges as adept, encapsulating comprehensive problem specifications. This study introduces two innovative aggregation operators within the Cq-ROFS framework: the Complex q-rung Orthopair Fuzzy Dynamic Weighted Averaging (Cq-ROFDWA) and the Complex q-rung Orthopair Fuzzy Dynamic Weighted Geometric (Cq-ROFDWG) operators. Some important characteristics of the newly defined operators are established. Moreover, these operators contribute to a systematic framework for handling Multiple Attribute Decision Making (MADM) problems involving complex q-rung Orthopair fuzzy information. The article exemplifies their application in resolving a MADM problem, determining the optimal option of an advanced communication system. Finally, to validate the derived methodologies, a thorough comparison study is carried out, demonstrating the superiority of the presented operators against various existing operators.

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