Selecting source behavior in information fusion on the basis of consistency and specificity

Authors:
Frédéric Pichon;Sébastien Destercke;Thomas Burger
Affiliations:
Thales Research and Technology, Palaiseau cedex, France;CNRS, UMR Heudiasyc, Centre de Recherches de Royallieu, France;CNRS, iRTSV (FR3425), CEA / iRTSV / BGE, INSERM (U1038), Université de Grenoble, France
Venue:
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2013

Citing 10
Cited 0

The transferable belief model

Artificial Intelligence
The Evaluation of Sensors' Reliability and Their Tuning for Multisensor Data Fusion within the Transferable Belief Model

ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Analyzing the combination of conflicting belief functions

Information Fusion
Refined modeling of sensor reliability in the belief function framework using contextual discounting

Information Fusion
A definition of subjective possibility

International Journal of Approximate Reasoning
Analyzing the degree of conflict among belief functions

Artificial Intelligence
Discountings of a Belief Function Using a Confusion Matrix

ICTAI '10 Proceedings of the 2010 22nd IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Conflict management in Dempster--Shafer theory using the degree of falsity

International Journal of Approximate Reasoning
Distances in evidence theory: Comprehensive survey and generalizations

International Journal of Approximate Reasoning
Relevance and truthfulness in information correction and fusion

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

Combining pieces of information provided by several sources without prior knowledge about the behavior of the sources is an old yet still important and rather open problem in belief function theory. In this paper, we propose a general approach to select the behavior of sources, based on two cornerstones of information fusion that are the notions of specificity and consistency. This approach is framed in a recently introduced and general fusion scheme that allows a wide range of assumptions on the sources. In the process, we are also led to generalize a recently introduced measure of conflict to all Boolean connectives. Eventually, we show that our approach generalizes some important existing information fusion strategies.