dc.contributor.author | Rauzy, Antoine | |
dc.date.accessioned | 2019-09-06T07:44:35Z | |
dc.date.available | 2019-09-06T07:44:35Z | |
dc.date.created | 2018-11-20T15:34:57Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Entropy. 2018, 20 (3), 1-26. | nb_NO |
dc.identifier.issn | 1099-4300 | |
dc.identifier.uri | http://hdl.handle.net/11250/2612859 | |
dc.description.abstract | In this article, we study computational uncertainties in probabilistic risk/safety assessment resulting from the computational complexity of calculations of risk indicators. We argue that the risk analyst faces the fundamental epistemic and aleatory uncertainties of risk assessment with a bounded calculation capacity, and that this bounded capacity over-determines both the design of models and the decisions that can be made from models. We sketch a taxonomy of modelling technologies and recall the main computational complexity results. Then, based on a review of state of the art assessment algorithms for fault trees and event trees, we make some methodological proposals aiming at drawing conceptual and practical consequences of bounded calculability. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | MDPI | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Notes on Computational Uncertainties in Probabilistic Risk/Safety Assessment | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 1-26 | nb_NO |
dc.source.volume | 20 | nb_NO |
dc.source.journal | Entropy | nb_NO |
dc.source.issue | 3 | nb_NO |
dc.identifier.doi | 10.3390/e20030162 | |
dc.identifier.cristin | 1632804 | |
dc.description.localcode | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | nb_NO |
cristin.unitcode | 194,64,92,0 | |
cristin.unitname | Institutt for maskinteknikk og produksjon | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |