Uncertainty modeling is a crucial aspect of decision-making processes, enabling the quantification and management of unknowns and variability in complex systems. It employs mathematical and computational techniques to predict potential outcomes and assess risks, thereby improving the reliability and robustness of models across various fields such as finance, engineering, and environmental science.