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Complex Fuzzy MARCOS and WASPAS Approaches with Z-Numbers for Augmented Reality Decision Making

Year: 2025

Type: article

Abstract: This study introduces two innovative decision-making methods, MARCOS and WASPAS, based on complex fuzzy Z-number sets. The methodology employs these approaches to evaluate the application of augmented reality (AR) in contemporary society as a case study, highlighting their advantages and nuanced differences. The complex fuzzy Z-number, which integrates Z-number and complex fuzzy set theories, serves as the foundation of this research. The study presents comprehensive flowcharts for both MARCOS and WASPAS, detailing their decision-making processes. A thorough analysis of the results is provided, along with future research directions that emphasize the potential of this methodological framework. The findings contribute to advancing decision-making in AR applications by offering comparative insights using complex fuzzy Z-number sets. Furthermore, the comparison section demonstrates the methodological robustness and validity of the proposed approach.

Source: Spectrum of Operational Research.

DOI: 10.31181/sor31202637

Authors: Aliha Shahid, Shahzaib Ashraf, Muhammad Shakir Chohan

Institution: Khwaja Fareed University of Engineering and Information 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: W4408825601

FWCI: 9.827

Cites:

Cited by: 12

Related to: 10