A fuzzy Bayesian network risk assessment model for analyzing the causes of slow-down processes in two-stroke ship main engines-Reference-Cited by-同舟云学术

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A fuzzy Bayesian network risk assessment model for analyzing the causes of slow-down processes in two-stroke ship main engines

Published:2024-03-03 Issue:5 Volume:19 Page:670-686
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Başhan Veysi¹^ORCID,Yucesan Melih²,Gul Muhammet³,Demirel Hakan¹

Affiliation:

1. Department of Marine Engineering, İstanbul Technical University, İstanbul, Turkey

2. Department of Emergency Aid and Disaster Management, Munzur University, Tunceli, Turkey

3. Department of Transportation and Logistics, Istanbul University, Istanbul, Turkey

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2024.2323889

Reference50 articles.

1. Causal factors in accidents of high-speed craft and conventional ocean-going vessels

2. Dynamic reliability analysis for residual life assessment of corroded subsea pipelines

3. Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach

4. A Fuzzy-Bayesian Approach on the Bankruptcy of Hanjin Shipping

5. Safety analysis of offshore decommissioning operation through Bayesian network

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Z-number and fault tree analysis to predict the risk of air pollution due to ship boiler operation;Marine Pollution Bulletin;2024-09

2. A comprehensive risk assessment framework for occupational health and safety in pharmaceutical warehouses using Pythagorean fuzzy Bayesian networks;Engineering Applications of Artificial Intelligence;2024-09

3. A novel hybrid risk assessment approach under fuzzy environment in steel industry;Engineering Applications of Artificial Intelligence;2024-07

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