Application of Data Visualization and Numerical Analysis for Evaluating Propagation of Uncertainty

Abstract

Propagation of uncertainty is a key factor in uncertainty evaluation. We propose a method using data visualization and numerical analysis for evaluating propagation of uncertainty. In this paper, the main stages of the method are described. Then, the implementation of the method in linear and nonlinear model is illustrated through some examples. These examples show appropriate use of data visualization and numerical analysis can be helpful to provide a concise qualitative overview and accurate quantitative analysis for the uncertainty.