Walz, Nico-PhilippBurkhardt, MarkusHanss, MichaelEberhard, Peter2017-04-262017-04-2620152210-9838486976335http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-91166http://elib.uni-stuttgart.de/handle/11682/9116http://dx.doi.org/10.18419/opus-9099Global 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 differences of fuzzy and stochastic uncertainty analysis. For the numerical calculation, a sparse-grid approach is suggested, providing an efficient realization due to the direct relationship between hierarchical grids and the sensitivity measures.eninfo:eu-repo/semantics/openAccess000conferenceObject