68 citations · 124 across the 5 of their papers we have counts for
6 papers
General combination rules for qualitative and quantitative beliefs
Arnaud Martin, Christophe Osswald, Jean Dezert +1
Martin and Osswald \cite{Martin07} have recently proposed many generalizations of combination rules on quantitative beliefs in order to manage the conflict and to consider the spec…
Generalized proportional conflict redistribution rule applied to Sonar imagery and Radar targets classification
Arnaud Martin, Christophe Osswald
In this chapter, we present two applications in information fusion in order to evaluate the generalized proportional conflict redistribution rule presented in the chapter \cite{Mar…
Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification
Arnaud Martin, Christophe Osswald
The sonar images provide a rapid view of the seabed in order to characterize it. However, in such as uncertain environment, real seabed is unknown and the only information we can o…
Human expert fusion for image classification
Arnaud Martin, Christophe Osswald
In image classification, merging the opinion of several human experts is very important for different tasks such as the evaluation or the training. Indeed, the ground truth is rare…
A new generalization of the proportional conflict redistribution rule stable in terms of decision
Arnaud Martin, Christophe Osswald
In this chapter, we present and discuss a new generalized proportional conflict redistribution rule. The Dezert-Smarandache extension of the Demster-Shafer theory has relaunched th…
Toward a combination rule to deal with partial conflict and specificity in belief functions theory
Arnaud Martin, Christophe Osswald
We present and discuss a mixed conjunctive and disjunctive rule, a generalization of conflict repartition rules, and a combination of these two rules. In the belief functions theor…