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适应情景规划,以创造对惊喜的期望:在风险评估中超越概率和可信性
James Derbyshire1, Mandeep Dhami2, Ian Belton3
1University of Chester, Chester, UK.
Risk analysis : an official publication of the Society for Risk Analysis
|September 19, 2025
概括
这项研究适应了直观逻辑 (IL) 情景规划方法,以改进风险评估. 通过考虑极端结果,超越概率和可信度,适应的方法有助于风险评估人员更好地预测意外.
科学领域:
- 风险评估和风险管理
- 决策科学 决策科学 决策科学
- 期货研究 期货研究
背景情况:
- 风险评估往往没有考虑到不确定性和潜在的惊喜.
- 现有的场景规划方法,如直观逻辑 (IL),旨在扩大未来的考虑范围,而不仅仅是概率.
研究的目的:
- 调整直观逻辑 (IL) 场景规划方法,以提高风险评估能力.
- 通过超越概率和可信度来提高风险评估中惊喜的预测能力.
主要方法:
- 一个涉及模拟IL场景规划练习的受控实验.
- 参与者在"可能"",可信"和"令人惊"的不确定性条件下将极端结果值赋予驱动力.
- 对分配值的分析和参与者对不确定性术语的解释.
主要成果:
- "令人惊"的不确定性条件导致与"可能"和"可信"条件相比,分配了更多极端值.
- 在价值赋值中的"可能"和"合理"条件之间没有发现显著差异.
- 参与者对"可能"和"可信"的解释类似,破坏了IL可信度重点的预期效果.
结论:
- 调整IL可以帮助风险评估人员超越概率和合理性,更好地考虑不确定性.
- 这种调整有助于在风险评估中更好地预测意外.
- 标准IL可能不会有效地延伸超出概率的思维,如果"可能"和"合理"被互换地解释.
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