The purpose of the present work is to survey the dissimilarity measures defined so far in the
mathematical framework of evidence theory, and to propose a classification of these …

Classical probability is not the only mathematical theory of uncertainty, or the most general.
Many authors have argued that probability theory is ill-equipped to model the 'epistemic' …

Dempster-Shafer evidence theory is a primary methodology for multisource information
fusion because it is good at dealing with uncertain information. This theory provides a …

This paper discusses and analyzes the behaviors of the Proportional Conflict Redistribution
rules no. 5 (PCR5) and no. 6 (PCR6) to combine several distinct sources of evidence …

In this paper, we analyze from a geometric perspective the meaningful relations taking place
between belief and probability functions in the framework of the geometric approach to the …

La fusion d'informations est apparue afin de gérer des quantités très importantes de
données multisources dans le domaine militaire [1, 141, 76, 77] et reste d'actualité dans ce …

Recently, several works have focused on the study of conflict among belief functions with a
geometric approach, trying to elaborate on the intuition that distant belief functions are more …

In this paper we discuss the semantics and properties of the relative belief transform, a
probability transformation of belief functions closely related to the classical plausibility …

In this Book we argue that the fruitful interaction of computer vision and belief calculus is
capable of stimulating significant advances in both fields. From a methodological point of …

Distances in evidence theory are useful tools for belief function approximation or clustering.
Efficient approaches are found in the literature, especially full metrics taking focal element …