Process / pipelineSimulation / optimization
稳健情景分析——在深度不确定性下的最坏情况和最小最大遗憾评估
稳健情景分析评估一组候选策略在结构化的合理未来情景集合中的表现，并选择无论哪种情景出现都能表现良好——或在最坏情况下表现最佳——的策略。它将情景规划与最大最小、最小最大遗憾或满意度等稳健性标准相结合，以支持深度、不可简化的不确定性下的决策。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Wald, A. (1950). Statistical Decision Functions. Wiley, New York. link ↗
- Lempert, R. J., Popper, S. W., Bankes, S. C. (2003). Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. RAND Corporation, Santa Monica, CA. ISBN: 9780833032751
如何引用本页
ScholarGate. (2026, June 3). Robust Scenario Analysis — Worst-case and minimax regret scenario evaluation under deep uncertainty. ScholarGate. https://scholargate.app/zh/simulation/robust-scenario-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.
Compare side by side →