A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models

This paper develops a new global sensitivity analysis (GSA) framework for computational models with input variables being characterized by second-order probability models due to epistemic uncertainties. Firstly, two graphical tools, called individual effect (IE) function and total effect (TE) function, are defined for identifying the influential and non-influential input variables. Secondly, two probabilistic GSA indices, called T-indices, are...