Key points are not available for this paper at this time.
Efficiently harnessing group wisdom in complex decision-making domains is a crucial endeavour as socioeconomic society evolves and real-life problems become increasingly intricate. The synergy of fuzzy sets, information aggregation, consensus reaching, and multi-criteria decisionmaking (MCDM) techniques offers a versatile framework for systematically incorporating human intelligence in quantitative judgements. The Best Worst Method (BWM), a robust pairwise comparison-based MCDM technique, has gained prominence due to its distinct advantages: streamlined comparison steps, more consistent preference information, and mitigation of anchoring bias and equalizing bias. This paper focuses on a comprehensive survey of advanced fuzzy set theories (including intuitionistic, neutrosophic, hesitant, Pythagorean, spherical and Fermatean fuzzy sets), commonly used aggregation operations under fuzzy numbers (including classical mean, generalised Heronian mean, power averaging, min and max, and ordered weighted averaging operators), and group consensus reaching process for the BWMbased decision models. A generalised algorithm for the fuzzy best-worst group decision-making (F-BWGDM) process based on democratic-autocratic decision style is demonstrated with five performance measures, including consistency ratio, conformity, minimised violation, total deviation, and sensitivity analysis. In this survey, the technical pitfalls and application studies related to F-BWGDM are analysed to stimulate upcoming exploration in this domain, with the ultimate goal of maintaining human group decision-making processes for qualitative assessments in a fair and systematic manner
Li et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: