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Ship Detention Situation Prediction via Optimized Analytic Hierarchy Process and Naïve Bayes Model
Joint Authors
Chen, Xinqiang
Wu, Shubo
Fu, Junjie
Shi, Chaojian
Zhao, Jiansen
Xian, Jiangfeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Ship detention serves as an obligatory but efficient manner in port state control (PSC) inspection, and accurate ship detention prediction provides early warning information for maritime traffic participants.
Previous studies mainly focused on exploiting the relationship between ship factors (i.e., ship age and ship type) and PSC inspection reports.
Less attention was paid to identify and predict the correlation between ship fatal deficiency and ship detention event.
To address the issue, we propose a novel framework to identify crucial ship deficiency types with an optimized analytic hierarchy process (AHP) model.
Then, the Naïve Bayes model is introduced to predict the ship detention probability considering weights of the identified crucial ship deficiency types.
Finally, we evaluate our proposed model performance on the empirical PSC inspection dataset.
The research findings can help PSC officials easily determine main ship deficiencies, and thus, less time cost is required for implementing the PSC inspection procedure.
In that manner, the PSC officials can quickly make ship detention decision and thus enhance maritime traffic safety.
American Psychological Association (APA)
Fu, Junjie& Chen, Xinqiang& Wu, Shubo& Shi, Chaojian& Zhao, Jiansen& Xian, Jiangfeng. 2020. Ship Detention Situation Prediction via Optimized Analytic Hierarchy Process and Naïve Bayes Model. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1200911
Modern Language Association (MLA)
Fu, Junjie…[et al.]. Ship Detention Situation Prediction via Optimized Analytic Hierarchy Process and Naïve Bayes Model. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1200911
American Medical Association (AMA)
Fu, Junjie& Chen, Xinqiang& Wu, Shubo& Shi, Chaojian& Zhao, Jiansen& Xian, Jiangfeng. Ship Detention Situation Prediction via Optimized Analytic Hierarchy Process and Naïve Bayes Model. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1200911
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200911