Uncertainty Theory

Uncertainty Theory is a mathematical framework that deals with situations where information is incomplete or uncertain. It helps us make decisions when we can't predict outcomes with absolute certainty. Unlike probability theory, which quantifies the likelihood of events based on known distributions, uncertainty theory embraces the idea that some information is inherently vague or imprecise. This approach is useful in fields like finance, engineering, and artificial intelligence, enabling better modeling and decision-making in complex environments where risks and uncertainties exist. In essence, it provides tools to navigate the ambiguous aspects of life and decision-making.