机械科学与技术2017，Vol.36Issue(6)：855-862,8.DOI:10.13433/j.cnki.1003-8728.2017.0606
随机-认知混合不确定性下稳健性评价新指标
Establishing New and Robust Evaluation Indexes under Aleatory and Epistemic Uncertainties
摘要
Abstract
In designing robust products that have aleatory uncertainty and epistemic uncertainty,the existing theories of probability,fuzzy set,interval and so on are not enough to establish new and robust evaluation indexes.To solve this problem,various types of uncertainty were described and processed according to the evidence theory.Then the evidence model for product quality evaluation indexes was established;the uncertainty quantification and propagation methods were developed.Under the aleatory and epistemic uncertainties,we proposed the robust indexes and methods for evaluating product quality.The simulation results show the effectiveness of the proposed indexes and methods.关键词
稳健性评价/随机不确定性/认知不确定性/证据理论Key words
robustness evaluation/aleatory uncertainty/epistemic uncertainty/evidence theory分类
信息技术与安全科学引用本文复制引用
锁斌,郭惠昕..随机-认知混合不确定性下稳健性评价新指标[J].机械科学与技术,2017,36(6):855-862,8.基金项目
中国人民解放军总装备部技术基础项目(2015zk1.2)与中国工程物理研究院科学技术发展基金项目(2014B0403063)资助 （2015zk1.2）
