Uncertainty Theory

The book explores the challenges of estimating probability distributions in the absence of samples, emphasizing the reliance on domain experts for assessing belief degrees regarding event occurrences. It critiques the common methods of subjective probability and fuzzy set theory, arguing that they can produce counterintuitive outcomes when applied in such situations. The text delves into alternative approaches and the implications of expert judgment in probability assessment, aiming to provide a more reliable framework for decision-making under uncertainty.