In engineering design optimization (DO) of large-scale and complex systems, it is important to handle epistemic uncertainty which exists in design parameters and stages of DO.
在对大规模复杂系统进行设计优化的过程中,处理好各环节和各设计参数中存在的认知不确定性是十分重要的。
The method of the uncertainty design using probability theory and credibility theory have been presented, which provides us with a useful modeling tool for random and epistemic parameter uncertainty.
综合应用概率论和可信性理论对随机和可认知混合不确定性参数进行建模,提出了基于概率论和可信性理论的不确定性设计方法。
The method of the uncertainty design using probability theory and credibility theory have been presented, which provides us with a useful modeling tool for random and epistemic parameter uncertainty.
综合应用概率论和可信性理论对随机和可认知混合不确定性参数进行建模,提出了基于概率论和可信性理论的不确定性设计方法。
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