Navigating ambiguity: A novel neutrosophic cubic shapley normalized weighted Bonferroni Mean aggregation operator with application in the investment environment.

The Neutrosophic Cubic Shapley Normalized Bonferroni (NC-SNWBM) method represents a cutting-edge approach to decision making theory, combining three distinct mathematical frameworks the neutrosophic cubic sets (NCS), Shapley values, and the Bonferroni aggregation operator. This innovative method addresses the challenges posed by uncertainty, vagueness, and imprecision in decision-making (DM) processes, offering a comprehensive and versatile tool for handling complex and dynamic scenarios. Neutrosophic cubic sets offers a strong platform to handle ambiguous and vague data due to three components Membership Grade (MG), Non-Membership Grade (NMG) and Indeterminancy Grade (IG) in data.

An analysis of the relationship between risk perceptions and willingness-to-pay for commodities during the COVID-19 pandemic.

The novel coronavirus disease of 2019 (COVID-19) has had a significant impact on the global retail market. Nonetheless, consumers will eventually return to the market once the pandemic is effectively controlled. Therefore, it is critical to consider which features closely linked to COVID-19 may affect consumer behavior.