Process / pipelineEngineering methods
稳健事件树分析 — 不确定性感知风险传播
稳健事件树分析(Robust ETA)通过明确考虑分配给每个分支的概率估计中的不确定性,扩展了经典的事件树分析。稳健方法不将分支概率视为精确的点值,而是将其表示为区间、概率分布或不精确概率,然后将该不确定性通过事件树传播,以产生结果频率范围而非单个数字。这使得决策者能够更清晰地了解在信息不完整或冲突的现实条件下,风险估计的置信度。
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来源
- Bedford, T., & Cooke, R. M. (2001). Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. ISBN: 9780521773201
- Event tree analysis. Wikipedia. link ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Event Tree Analysis. ScholarGate. https://scholargate.app/zh/experimental-design/robust-event-tree-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 事件树分析 (ETA)可靠性↔ compare
- 失效模式与影响分析 (FMEA)实验设计↔ compare
- 故障树分析 (FTA)可靠性↔ compare
- 稳健的失效模式与影响分析实验设计↔ compare
- 稳健故障树分析实验设计↔ compare
- 事件树分析的敏感性分析实验设计↔ compare