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A Novel Process Model for Marine Accident Analysis by using Generic Fuzzy-AHP Algorithm

dc.contributor.authorSahin, Bekir
dc.contributor.authorSenol, Yunus Emre
dc.date.accessioned2026-01-29T03:31:27Z
dc.date.issued2014-08-15
dc.description.abstractMarine accident analysis is a sophisticated and complex official interpretation that requires a professional and fair judgment. For accidents such as a collision, contact and other incidents in the maritime field, the judgment mechanism of the courts depends on the decision process of the field experts. Field experts define the “Fraction Defectives” (FDs) of the vessels for the intended case based on the existing evidence and navigational specifications. However, evaluation of human judgment can be limited and problematic in analysing many aspects of a case. In this paper, a pairwise comparison method is used to simplify and clarify the judgment process. We aim to assess marine accidents in a stepwise approach that is inaccurately carried out in a holistic perspective by the field experts. A real accident that occurred in the past is simulated in front of the field experts. After conducting an expert consultation, FDs are re-calculated to compare both the regular judgment and the results in our suggested Generic Fuzzy Analytical Hierarchy Process (GF-AHP) approach.
dc.description.urihttps://doi.org/10.1017/s0373463314000514
dc.description.urihttps://dx.doi.org/10.1017/s0373463314000514
dc.identifier.doi10.1017/s0373463314000514
dc.identifier.eissn1469-7785
dc.identifier.endpage183
dc.identifier.issn0373-4633
dc.identifier.openairedoi_dedup___::2589b49166f9b9c0f0141777f540a7fb
dc.identifier.orcid0000-0003-2687-3419
dc.identifier.orcid0000-0001-7592-7247
dc.identifier.startpage162
dc.identifier.urihttps://hdl.handle.net/11527/66658
dc.identifier.volume68
dc.language.isoeng
dc.publisherCambridge University Press (CUP)
dc.relation.ispartofJournal of Navigation
dc.rightsCLOSED
dc.sdg.typeGoal 14: Life Below Water
dc.titleA Novel Process Model for Marine Accident Analysis by using Generic Fuzzy-AHP Algorithm
dc.typeArticle
dspace.entity.typePublication

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