A distance between continuous belief functions

Authors:
Dorra Attiaoui;Pierre-Emmanuel Doré;Arnaud Martin;Boutheina Ben Yaghlane
Affiliations:
LARODEC, ISG Tunis, Le Bardo, Tunisie;LARODEC, ISG Tunis, Le Bardo, Tunisie;UMR 6074 IRISA, Université de Rennes1, Lannion cedex, France;LARODEC, ISG Tunis, Le Bardo, Tunisie
Venue:
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Year:
2012

Citing 7
Cited 0

The principle of minimum specificity as a basis for evidential reasoning

Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty in knowledge-based systems. International Conference on Information
The Combination of Evidence in the Transferable Belief Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
The transferable belief model

Artificial Intelligence
Constructing the Pignistic Probability Function in a Context of Uncertainty

UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
The TBM global distance measure for the association of uncertain combat ID declarations

Information Fusion
Characterizing belief with minimum commitment

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Belief functions on real numbers

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the theory of belief functions, distances between basic belief assignments are very important in many applications like clustering, conflict measuring, reliability estimation. In the discrete domain, many measures have been proposed, however, distance between continuous belief functions have been marginalized due to the nature of these functions. In this paper, we propose an adaptation inspired from the Jousselme's distance for continuous belief functions.