The Belief-Noisy-OR model applied to network reliability analysis

Abstract : One difficulty faced in knowledge engineering for Bayesian Network (BN) is the quan-tification step where the Conditional Probability Tables (CPTs) are determined. The number of parameters included in CPTs increases exponentially with the number of parent variables. The most common solution is the application of the so-called canonical gates. The Noisy-OR (NOR) gate, which takes advantage of the independence of causal interactions, provides a logarithmic reduction of the number of parameters required to specify a CPT. In this paper, an extension of NOR model based on the theory of belief functions, named Belief Noisy-OR (BNOR), is proposed. BNOR is capable of dealing with both aleatory and epistemic uncertainty of the network. Compared with NOR, more rich information which is of great value for making decisions can be got when the available knowledge is uncertain. Specially, when there is no epistemic uncertainty, BNOR degrades into NOR. Additionally, different structures of BNOR are presented in this paper in order to meet various needs of engineers. The application of BNOR model on the reliability evaluation problem of networked systems demonstrates its effectiveness.
Type de document :
Article dans une revue
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing, 2016
Liste complète des métadonnées


https://hal.archives-ouvertes.fr/hal-01326342
Contributeur : Kuang Zhou <>
Soumis le : dimanche 5 juin 2016 - 16:16:20
Dernière modification le : mercredi 2 août 2017 - 10:08:24

Fichiers

BeliefNoisyOr.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01326342, version 2
  • ARXIV : 1606.01116

Citation

Kuang Zhou, Arnaud Martin, Quan Pan. The Belief-Noisy-OR model applied to network reliability analysis. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing, 2016. <hal-01326342v2>

Partager

Métriques

Consultations de
la notice

346

Téléchargements du document

72