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dc.contributor.authorSahin, Bekir
dc.contributor.authorYazidi, Anis
dc.contributor.authorRoman, Dumitru
dc.contributor.authorSoylu, Ahmet
dc.date.accessioned2022-03-09T11:48:47Z
dc.date.available2022-03-09T11:48:47Z
dc.date.created2021-07-29T13:00:45Z
dc.date.issued2021
dc.identifier.citationIEEE Access. 2021, 9 1-18.en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/11250/2983997
dc.description.abstractThis study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based approach allows conducting advanced analyses grounded on rich domain knowledge. Two approaches as the conventional approach and rule-based method are applied for the calculations of failure probability and analysis of the fault tree. Collision and grounding of an autonomous ship are investigated in two scenarios. The structural design, probability calculations, and sensitivity analyses prove that the proposed system is applicable, robust, accurate and reliable. Thus, the propounded ontology-based fault tree algorithms fill a gap in safety engineering by its capability of comprehensiveness.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOntology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Shipsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-18en_US
dc.source.volume9en_US
dc.source.journalIEEE Accessen_US
dc.identifier.doi10.1109/ACCESS.2021.3061929
dc.identifier.cristin1923015
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal