A Reduced Order Model Approach for Fuzzy Field Analysis
Nataly Manque,
Marcos Valdebenito,
Matthias Faes
et al.
Abstract:Due to imprecision, scarcity, and spatial variation in input data, the response of systems with governing parameters that possess spatial dependencies is hard to characterize accurately. Under such a scenario, fuzzy fields become an efficient tool for solving problems that exhibit uncertainty with a spatial component. Nevertheless, the propagation of the uncertainty associated with input parameters characterized as fuzzy fields towards the output response of a model can be quite demanding from a numerical view… Show more
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