Title :
Can we trust subjective logic for information fusion?
Author :
Dezert, Jean ; Tchamova, Albena ; Deqiang Han ; Tacnet, Jean-Marc
Author_Institution :
Chemin de la Huniere, French Aerosp. Lab., Palaiseau, France
Abstract :
In this paper, we provide a deep examination of the main bases of Subjective Logic (SL) and reveal serious problems with them. A new interesting alternative way for building a normal coarsened basic belief assignment from a refined one is also proposed. The defects in the SL fusion rule and the problems in the link between opinion and Beta probability density functions are also analyzed. Some numerical examples and related analyses are provided to justify our viewpoints.
Keywords :
formal logic; probability; SL fusion rule; belief assignment; beta probability density functions; information fusion; subjective logic; Atomic measurements; Bayes methods; Buildings; Entropy; Probability density function; Uncertainty; Upper bound; Information fusion; Subjective logic; belief functions;
Conference_Titel :
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location :
Salamanca
