Global sensitivity analysis is an important tool for uncertainty analysis of systems with uncertain model parameters. A general framework for the determination of sensitivity measures for fuzzy uncertainty analysis is presented. The derivation is founded on the high-dimensional model representation, which provides a common basis with Sobol indices, illustrating the similarities and di erences o...

As recently pointed out in the field of Global Sensitivity Analysis (GSA) computer simulations, use replicated Latin Hypercube Designs (rLHDs) is a cost-saving alternative to regular Monte Carlo sampling estimate first-order Sobol’ indices. Indeed, two rLHDs are sufficient compute whole set those indices regardless number input variables. This relies on permutation trick which, however, only wo...

The distributions of endophytic bacteria in Alopecurus aequalis Sobol and Oxalis corniculata L. grown in soils contaminated with different levels of polycyclic aromatic hydrocarbons (PAHs) were investigated with polymerase chain reaction followed by denaturing gradient gel electrophoresis technology (PCR-DGGE) and cultivation methods. Twelve types of PAHs, at concentrations varying from 0.16 to...

Avalanche models are increasingly employed for elaborating land-use maps and designing defense structures, but they rely on poorly known parameters. Careful uncertainty assessment is thus required difficulty arises from the nature of outputs these models, which commonly both functional scalar. Hence, so far in avalanche field, few sensitivity analyses have been performed. In this work, we propo...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 6 July 2020Accepted: 16 February 2021Published online: 01 June 2021Keywordschaining, explainable AI, global sensitivity analysis, pick-freeze, Sobol' indices, winding stairsAMS Subject Headings62K99, 65D99, 68T07Publication DataISSN (online): 2166-2525Publisher: Society f...