...L. Chen; Z. Zhang; G. Yang; Q. Zhou; Y. Xia; C. Jiang Epistemic uncertainty is widespread in reliability analysis of practical engineering products. Evidence theory is regarded as a powerful model for quantifying and analyzing epistemic uncertainty. However, the heavy computational burden has...

... on evidence theory is proposed to uniformly analyze the influence of epistemic uncertainty and their correlation in modeling parameters on the positioning accuracy of robotic end effector. For the epistemic uncertainty derived from the limited sample data of modeling parameters, a generalized evidence theory...

...Dequan Zhang; Yunfei Liang; Lixiong Cao; Jie Liu; Xu Han It is generally understood that intractable computational intensity stemming from repeatedly calling performance function when evaluating the contribution of joint focal elements hinders the application of evidence theory in practical...

.... Mech. Eng. , 318 , pp. 572 – 593 . 10.1016/j.cma.2017.01.037 [19] Du , X. , 2006 , “ Uncertainty Analysis With Probability and Evidence Theories ,” Proceedings of ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference...

...Lixiong Cao; Jie Liu; Chao Jiang; Zhantao Wu; Zheng Zhang Evidence theory has the powerful feature to quantify epistemic uncertainty. However, the huge computational cost has become the main obstacle of evidence theory on engineering applications. In this paper, an efficient uncertainty...

...Christian Gogu; Youchun Qiu; Stéphane Segonds; Christian Bes Evidence theory is one of the approaches designed specifically for dealing with epistemic uncertainty. This type of uncertainty modeling is often useful at preliminary design stages where the uncertainty related to lack of knowledge...