An enhanced FMEA based risk analysis for ship fire safety incorporating the dynamic consensus reaching process with bounded confidence opinion dynamics
•Enhanced FMEA method for strengthening maritime safety analysis.•The double-layer dynamic consensus algorithm identifies low-consensus experts.•The bounded-confidence DeGroot hybrid model adjusts expert opinions, enhancing reliability.•A comprehensive risk factor weighting method enhances the relia...
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| Published in: | Ocean engineering Vol. 343; p. 123318 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
15.01.2026
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| ISSN: | 0029-8018 |
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| Abstract | •Enhanced FMEA method for strengthening maritime safety analysis.•The double-layer dynamic consensus algorithm identifies low-consensus experts.•The bounded-confidence DeGroot hybrid model adjusts expert opinions, enhancing reliability.•A comprehensive risk factor weighting method enhances the reliability of the enhanced FMEA method.
In high-risk scenarios like ship fires, achieving expert consensus in failure mode and effect analysis (FMEA) is vital. However, existing FMEA models often lack mechanisms to effectively reconcile divergent expert opinions while accounting for the dynamic influence of social trust networks, limiting their practical effectiveness. To overcome these limitations, this study introduces an enhanced FMEA that incorporates a dynamic consensus reaching process (CRP) based on a bounded confidence DeGroot hybrid model and a social trust network (STN). First, expert evaluations are converted into cloud models, and the directed weighted Louvain algorithm reduces data complexity and identifies subgroups through the STN. Next, expert and subgroup weights are determined, and a double-layer dynamic consensus convergence detection mechanism identifies non-consensus experts. Their opinions are then adjusted using the DeGroot hybrid model, thereby constructing a dynamic CRP. Subsequently, comprehensive risk factor weights are determined. Finally, risk priorities are determined using the TOPSIS method. Applied to a ship fire risk assessment case, the model demonstrates feasibility; sensitivity and comparative analyses further show that it achieves consensus more quickly and with higher efficiency. This work bridges STN theory with marine safety engineering, offering a robust tool for risk management in scenarios demanding coordinated expert judgment. |
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| AbstractList | •Enhanced FMEA method for strengthening maritime safety analysis.•The double-layer dynamic consensus algorithm identifies low-consensus experts.•The bounded-confidence DeGroot hybrid model adjusts expert opinions, enhancing reliability.•A comprehensive risk factor weighting method enhances the reliability of the enhanced FMEA method.
In high-risk scenarios like ship fires, achieving expert consensus in failure mode and effect analysis (FMEA) is vital. However, existing FMEA models often lack mechanisms to effectively reconcile divergent expert opinions while accounting for the dynamic influence of social trust networks, limiting their practical effectiveness. To overcome these limitations, this study introduces an enhanced FMEA that incorporates a dynamic consensus reaching process (CRP) based on a bounded confidence DeGroot hybrid model and a social trust network (STN). First, expert evaluations are converted into cloud models, and the directed weighted Louvain algorithm reduces data complexity and identifies subgroups through the STN. Next, expert and subgroup weights are determined, and a double-layer dynamic consensus convergence detection mechanism identifies non-consensus experts. Their opinions are then adjusted using the DeGroot hybrid model, thereby constructing a dynamic CRP. Subsequently, comprehensive risk factor weights are determined. Finally, risk priorities are determined using the TOPSIS method. Applied to a ship fire risk assessment case, the model demonstrates feasibility; sensitivity and comparative analyses further show that it achieves consensus more quickly and with higher efficiency. This work bridges STN theory with marine safety engineering, offering a robust tool for risk management in scenarios demanding coordinated expert judgment. |
| ArticleNumber | 123318 |
| Author | Huang, An Yang, Youlong Xu, Yifan |
| Author_xml | – sequence: 1 givenname: An orcidid: 0009-0002-5381-7877 surname: Huang fullname: Huang, An email: anhuang@stu.xidian.edu.cn – sequence: 2 givenname: Youlong orcidid: 0000-0002-3706-1312 surname: Yang fullname: Yang, Youlong email: ylyang@mail.xidian.edu.cn – sequence: 3 givenname: Yifan orcidid: 0009-0003-7798-647X surname: Xu fullname: Xu, Yifan email: efanxu@stu.xidian.edu.cn |
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| Keywords | Dynamic consensus reaching process Failure mode and effect analysis Social trust network Social network DeGroot model Ship fire risk assessment |
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| SubjectTerms | Dynamic consensus reaching process Failure mode and effect analysis Ship fire risk assessment Social network DeGroot model Social trust network |
| Title | An enhanced FMEA based risk analysis for ship fire safety incorporating the dynamic consensus reaching process with bounded confidence opinion dynamics |
| URI | https://dx.doi.org/10.1016/j.oceaneng.2025.123318 |
| Volume | 343 |
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