Title :
Combining evidences by means of the entropy maximization principle
Author :
Dambreville, Frédéric
Author_Institution :
Delegation Gen. pour l´´ Armement, DGA/CEP/GIP/FAS, Arcueil
Abstract :
Works have investigated the problem of the conflict redistribution in the fusion rules of evidence theories. As a consequence of these works, many new rules have been proposed. Now, there is not a clear theoretical criterion for a choice of a rule instead another. The present paper proposes a new theoretically grounded rule, based on a new concept of sensor independence. This new rule avoids the conflict redistribution, by an adaptive combination of the beliefs. Both the logical grounds and the algorithmic implementation are considered.
Keywords :
belief networks; case-based reasoning; entropy; formal logic; optimisation; probability; sensor fusion; belief adaptive combination; conflict redistribution; entropy maximization principle; evidence theories; fusion rules; grounded rule; modal logic; probability; sensor independence; Adaptation model; Birth disorders; Boolean algebra; Constraint optimization; Dissolved gas analysis; Entropy; Postal services; Probabilistic logic; Tellurium; Entropy; Entropy maximization; Evidence Theories; Modal Logic; Probability;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408059