Liu, Quan and Tchangani, Ayeley and Pérès, François
Modelling complex large scale systems using object oriented Bayesian networks (OOBN).
(2016)
IFAC-PapersOnLine, 49 (12). 127-132. ISSN 2405-8963
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 547kB |
Official URL: http://dx.doi.org/10.1016/j.ifacol.2016.07.562
Abstract
The aim of this communication is to present a new way of how to structure modelling process of complex and large scale systems by object oriented Bayesian network (OOBN) for risk assessment and management purpose. In the first stage, we extend OOBN by presenting a new definition that introduces some flexibility, in a second stage, dynamic Bayesian networks (DBN) described by OOBN method are presented, that leads to a framework that we refer to as Dynamic Objet Oriented Bayesian Network (DOOBN). A demonstration in the domain of risk assessment of flash floods effect on the infrastructures inoperability is considered to show potential applicability of the extended OOBN.
Item Type: | Article |
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Additional Information: | Thanks to Elsevier editor. The definitive version is available at http://www.sciencedirect.com The original PDF of the article can be found at IFAC-PapersOnLine website : http://www.sciencedirect.com/science/article/pii/S2405896316308199?via%3Dihub |
HAL Id: | hal-01519939 |
Audience (journal): | International peer-reviewed journal |
Uncontrolled Keywords: | |
Institution: | Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) |
Laboratory name: | |
Statistics: | download |
Deposited On: | 09 May 2017 13:45 |
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