prikaz prve stranice dokumenta Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier
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Scientific paper - Preliminary note / Short communication
Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier
Transactions on Maritime Science, 10 (2021), 02; 330-347. https://doi.org/10.7225/toms.v10.n02.w07
Kuzmanić Skelin, Ana; Vojković, Lea; Mohović, Dani; Zec, Damir

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Kuzmanić Skelin, A., Vojković, L., Mohović, D. & Zec, D. (2021). Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier. Transactions on Maritime Science, 10. (02), 330-347. doi: 10.7225/toms.v10.n02.w07

Kuzmanić Skelin, Ana, et al. "Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier." Transactions on Maritime Science, vol. 10, no. 02, 2021, pp. 330-347. https://doi.org/10.7225/toms.v10.n02.w07

Kuzmanić Skelin, Ana, Lea Vojković, Dani Mohović and Damir Zec. "Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier." Transactions on Maritime Science 10, no. 02 (2021): 330-347. https://doi.org/10.7225/toms.v10.n02.w07

Kuzmanić Skelin, A., et al. (2021) 'Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier', Transactions on Maritime Science, 10(02), pp. 330-347. doi: 10.7225/toms.v10.n02.w07

Kuzmanić Skelin A, Vojković L, Mohović D, Zec D. Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier. Transactions on Maritime Science [Internet]. 2021 [cited 2025 April 02];10(02):330-347. doi: 10.7225/toms.v10.n02.w07

A. Kuzmanić Skelin, L. Vojković, D. Mohović and D. Zec, "Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier", Transactions on Maritime Science, vol. 10, no. 02, pp. 330-347, 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:074674. [Accessed: 02 April 2025]

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Metadata
Title (english)Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier
AuthorAna Kuzmanić Skelin
AuthorLea Vojković
AuthorDani Mohović
AuthorDamir Zec
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies
Author's institutionUniversity of Split
Faculty of Maritime Studies
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
Probabilistic maritime accident models based on Bayesian Networks are typically built upon the data available in accident records and the data obtained from human experts knowledge on accident. The drawback of such models is that they do not take explicitly into the account the knowledge on non-accidents as would be required in the probabilistic modelling of rare events. Consequently, these models have difficulties with delivering interpretation of influence of risk factors and providing... More sufficient confidence in the risk assessment scores. In this work, modelling and risk score interpretation, as two aspects of the probabilistic approach to complex maritime system risk assessment, are addressed. First, the maritime accident modelling is posed as a classification problem and the Bayesian network classifier that discriminates between accident and non-accident is developed which assesses state spaces of influence factors as the input features of the classifier. Maritime accident risk are identified as adversely influencing factors that contribute to the accident. Next, the weight of evidence approach to reasoning with Bayesian network classifier is developed for an objective quantitative estimation of the strength of factor influence, and a weighted strength of evidence is introduced. Qualitative interpretation of strength of evidence for individual accident influencing factor, inspired by Bayes factor, is defined. The efficiency of the developed approach is demonstrated within the context of collision of small passenger vessels and the results of collision risk assessments are given for the environmental settings typical in Croatian nautical tourism. According to the results obtained, recommendations for navigation safety during high density traffic have been distilled. Less
Keywords (english)
Languageenglish
Publication typeScientific paper - Preliminary note / Short communication
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleTransactions on Maritime Science
Numberingvol. 10, no. 02, pp. 330-347
p-ISSN1848-3305
e-ISSN1848-3313
DOIhttps://doi.org/10.7225/toms.v10.n02.w07
URN:NBNurn:nbn:hr:187:074674
Publication2021
Document URLhttps://hrcak.srce.hr/269690
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-04-04 13:51:28
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