Abstract: Subjective opinions in decision-making processes are often vague, ambiguous, and imprecise due to the inherent subjectivity and variability in individual perspectives. This systematic study examines the Fuzzy Weighted Zero Inconsistency (FWZIC) method, which addresses these challenges by achieving consistency in group consensus and effectively managing uncertainties associated with subjective human opinions. The FWZIC method is increasingly popular in the Multi-Criteria Decision Making (MCDM) field for determining criteria weights. This study comprehensively analyzes 71 empirical studies published from 2021 to March 2025, employing the FWZIC method across diverse domains such as healthcare, engineering, and supply chain. By categorizing FWZIC literature based on themes and domains, this study reveals a taxonomy of the latest techniques and methods integrated with FWZIC. It also explores fuzzy extensions and integrated MCDM methods, providing researchers with a summary of suitable techniques for various contexts. By systematically synthesizing findings, this study provides a comprehensive overview of the current state of FWZIC applications in the literature, identifies gaps and suggests potential avenues for future research in the MCDM domain.

Ghazala Bilquise and Samar Ibrahim, “Ensuring Consistency in Group Decision Making: A Systematic Review of the FWZIC Method” International Journal of Advanced Computer Science and Applications(IJACSA), 16(6), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160676

@article{Bilquise2025,
title = {Ensuring Consistency in Group Decision Making: A Systematic Review of the FWZIC Method},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160676},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160676},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {6},
author = {Ghazala Bilquise and Samar Ibrahim}
}