Work

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

Year: 2025

Type: article

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.

Source: Spectrum of Decision Making and Applications.

DOI: 10.31181/sdmap31202646

Authors: Fakiha Ijaz, Muhammad Azeem, Jawad Ali

Institutions: University of Agriculture Faisalabad, Slovak Academy of Sciences, Mathematical Institute of the Slovak Academy of Sciences, Kohat University of Science and Technology

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4411466194

FWCI: 5.732

Cites: 38

Cited by: 7

Related to: 10