Propagation of Parameter Uncertainty Based on Evidence Theory
Uncertainty quantification is an important component in robust design, because it is essential to obtain the robust solution. The classical robust design method pays more attention to aleatory uncertainty of parameters while disregarding epistemic uncertainty, which is now viewed as an inherent property of the system and has gained a lot of attention in recent years. In this paper, the features of parameter uncertainty are reviewed and an integrated framework, which can handle the aleatory and epistemic uncertainty of parameters simultaneously using evidence theory, is proposed. Finally, an example is used to illustrate the procedures of our approach.
uncertainty quantification aleatory uncertainty epistemic uncertainty evidence theory
Junming HU Fayuan WEI Renwei GE Tianxi LIANG
Institution of System Engineering China Academy of Engineering Physics Mian yang, China
国际会议
西安
英文
969-973
2011-06-17（万方平台首次上网日期，不代表论文的发表时间）