Abstract
A unified uncertainty management based on Baldwin's Support Logic Programming (SLP) and Mass
Assignment Theory (MAT) is introduced. This is introduced as an instance, or at least a subset, of Zadeh's General
Theory of Uncertainty (GTU) such that the general constraint is represented as extended Horn clauses in SLP. For a
better generalization in order to handle fuzzy predicates associated with fuzzy probability, an additional extension
to SLP is proposed. MAT plays central roles in this unified uncertainty management, e.g. semantic unification and
a capacity of adaptability, more generally, Perceptual Information Processing (PIP).
