Comparing evidential graphical models for imprecise reliability

Authors:
Wafa Laâmari;Boutheina Ben Yaghlane;Christophe Simon
Affiliations:
LARODEC Laboratory, Institut Supérieur de Gestion de Tunis, Tunisia;LARODEC Laboratory, Institut Supérieur de Gestion de Tunis, Tunisia;CRAN Laboratory, Nancy Université, CNRS, UMR, ESSTIN, France
Venue:
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Year:
2010

Citing 3
Cited 3

Axioms for probability and belief-function proagation

UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Inference in directed evidential networks based on the transferable belief model

International Journal of Approximate Reasoning
A comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer architectures for computing marginals of probability distributions

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence

Representing belief function knowledge with graphical models

KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
On the complexity of the graphical representation and the belief inference in the dynamic directed evidential networks with conditional belief functions

SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
An evidential network approach to support uncertain multiviewpoint abductive reasoning

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a comparison of two evidential networks applied to the reliability study of complex systems with uncertain knowledge. This comparison is based on different aspects. In particular, the original structure, the graphical structures for the inference, the messagepassing schemes, the storage efficiencies, the computational efficiencies and the exactness of the results are studied.