ON MODELING UNCERTAINTY WITH INTERVAL STRUCTURES

In this paper, we introduce the notion of interval structures in an at tempt to establish a unified framework for representing uncertain info rmation. Two views are suggested for the interpretation of an interval structure. A typical example using the compatibility view is the roug h set model in which the lower and upper approximations form an interv al structure. Incidence calculus adopts the allocation view in which a n interval structure is defined by the tightest lower and upper incide nce bounds. The relationship between interval structures and interval- based numeric belief and plausibility functions is also examined. As a n application of the proposed model, an algorithm is developed for com puting the tightest incidence bounds.