(7)Limbourgts21提出了处理所谓“认知不确定性”(epistemic uncertainty)的MOEAs,他发 现用EAs处理优化问题的UCs时,这种误差常常会被忽略,并且使用重复抽样也无法消 除这种不确定性。
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然后,给出用户认知不确定性的区间表示与更新策略;
An interval-based expression and an update strategy of the user's uncertain cognitive are given.
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。
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.
通过性能化防火设计中不确定性因素的分析,主要有偶然的和认知的不确定性。
Through performance-based fire protection design analysis of uncertainties, there are accidental and cognitive uncertainty.
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