Relevance and truthfulness in information correction and fusion

Authors:
Frédéric Pichon;Didier Dubois;Thierry Denœux
Affiliations:
Thales Research and Technology, Campus Polytechnique, 1 Avenue Augustin Fresnel, 91767 Palaiseau Cedex, France;Université Paul Sabatier, IRIT -- Bureau 308, 118 Route de Narbonne, 31062 Toulouse Cedex 09, France;Université de Technologie de Compiégne, UMR CNRS 6599 Heudiasyc, Centre de Recherches de Royallieu, BP20529, 60205 Compiégne Cedex, France
Venue:
International Journal of Approximate Reasoning
Year:
2012

Citing 10
Cited 4

Arithmetic and other operations on Dempster-Shafer structures

International Journal of Man-Machine Studies
The transferable belief model

Artificial Intelligence
The alpha-junctions: Combination Operators Applicable to Belief Functions

ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
Axioms for probability and belief-function proagation

UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Modeling partially reliable information sources: A general approach based on Dempster-Shafer theory

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

Information Fusion
A Simple Modal Logic for Reasoning about Revealed Beliefs

ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Independence concepts in evidence theory

International Journal of Approximate Reasoning
Belief functions contextual discounting and canonical decompositions

International Journal of Approximate Reasoning
Assessing sensor reliability for multisensor data fusion within the transferable belief model

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Object association with belief functions, an application with vehicles

Information Sciences: an International Journal
Belief functions contextual discounting and canonical decompositions

International Journal of Approximate Reasoning
Selecting source behavior in information fusion on the basis of consistency and specificity

ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Bioprocess diagnosis based on the empirical use of distance measures in the theory of belief functions

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

A general approach to information correction and fusion for belief functions is proposed, where not only may the information items be irrelevant, but sources may lie as well. We introduce a new correction scheme, which takes into account uncertain metaknowledge on the source's relevance and truthfulness and that generalizes Shafer's discounting operation. We then show how to reinterpret all connectives of Boolean logic in terms of source behavior assumptions with respect to relevance and truthfulness. We are led to generalize the unnormalized Dempster's rule to all Boolean connectives, while taking into account the uncertainties pertaining to assumptions concerning the behavior of sources. Eventually, we further extend this approach to an even more general setting, where source behavior assumptions do not have to be restricted to relevance and truthfulness. We also establish the commutativity property between correction and fusion processes, when the behaviors of the sources are independent.