Calculating Uncertainty Intervals From Conditional Convex Sets of
  Probabilities
  In Moral, Campos (1991) and Cano, Moral, Verdegay-Lopez (1991) a new method
of conditioning convex sets of probabilities has been proposed. The result of
it is a convex set of non-necessarily normalized probability distributions. The
normalizing factor of each probability distribution is interpreted as the
possibility assigned to it by the conditioning information. From this, it is
deduced that the natural value for the conditional probability of an event is a
possibility distribution. The aim of this paper is to study methods of
transforming this possibility distribution into a probability (or uncertainty)
interval. These methods will be based on the use of Sugeno and Choquet
integrals. Their behaviour will be compared in basis to some selected examples.
