Abstract
In this paper we discuss the properties of the intersection probability, a recent Bayesian approximation of belief functions introduced by geometric means. We propose a rationale for this approximation valid for interval probabilities, study its geometry in the probability simplex with respect to the polytope of consistent probabilities, and discuss the way it relates to important operators acting on belief functions. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Cuzzolin, F. (2009). The intersection probability and its properties. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5590 LNAI, pp. 287–298). https://doi.org/10.1007/978-3-642-02906-6_26
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