Scenario evolutionary analysis for maritime emergencies using an ensemble belief rule base
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DOI: 10.1016/j.ress.2022.108627
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Cited by:
- Shi, Lingyuan & Yang, Xin & Chang, Ximing & Wu, Jianjun & Sun, Huijun, 2023. "An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
- Yin, Xiuxian & He, Wei & Cao, You & Ma, Ning & Zhou, Guohui & Li, Hongyu, 2024. "A new health state assessment method based on interpretable belief rule base with bimetric balance," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
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Keywords
Maritime emergencies; Scenario evolutionary analysis; Ensemble belief rule base; Random subspace; Multiple outputs;All these keywords.
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