Interval Valued Belief Functions

Interval Valued Belief Functions are a way to represent uncertainty when information isn't precise. Instead of assigning a single probability to an event, they give a range (interval) that reflects the possible degree of belief, acknowledging some level of ambiguity. This approach allows for modeling situations where data is incomplete or uncertain, capturing the confidence interval for belief levels. It helps decision-makers understand the possible variation in outcomes, providing a more flexible and realistic assessment of uncertain information compared to fixed probabilities.