Research Theme: Probability Intervals and the
IntersectionProbability |

Probability intervals[Moral] are an attractive tool for reasoning under uncertainty. Unlike belief functions, though, they lack a natural probability transformation (such as the pignistic function for BFs) that could be used for decision making in a utility theory framework.

We propose the use of theintersection probability, a transformation derived originally for belief functions in our geometric framework, as the most natural such transformation. This outlines a novel decision making framework for probability intervals, analogous to the Transferable Belief Model for belief functions.Relevant papers:

Fabio Cuzzolin and Sebastien Destercke

Betting with probability intervals: the intersection probability

Artificial Intelligence

submitted February 2007, revised June 2009; to revise by Fall 2013

(I.F. 2.362)

Fabio Cuzzolin

The intersection probability and its properties

in"Symbolic and Quantitative Approaches to Reasoning with Uncertainty",

Lecture Notes in Computer Science, Volume 5590/2009, pages 287-298

Springer Berlin / Heidelberg, 2009

Lab Member(s): Fabio Cuzzolin