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Auflistung nach Schlagwort "sensitivity analysis"

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  • Konferenzbeitrag
    A Sensitivity Analysis Procedure for Quality Function Deployment (QFD)
    (Softwaretechnik-Trends Band 43, Heft 4, 2023) Fehlmann, Thomas M.; Kranich, Eberhard
    Quality Function Deployment (QFD) as part of the Design for Six Sigma (DFSS) methodology assists to design a new product or to redesign an existing product with respect to a set of potentially changing customer requirements. The goal of DFSS is that the novel product meets the stated requirements within a predefined Six Sigma quality level. If this aim is missed, sensitivity analyses may help to approach the aim. This article outlines how and with which means such analyses can be conducted.
  • Konferenzbeitrag
    Tensor Methods for Global Sensitivity Analysis
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, 2019) Ballester-Ripoll, Rafael; Paredes, Enrique G.; Pajarola, Renato
    Sobol indices and other, more recent quantities of interest (such as the effective and mean dimensions, the dimension distribution, or the Shapley values) are of great aid in sensitivity analysis, uncertainty quantification, and model interpretation. Unfortunately, computing such indices is still challenging for high-dimensional systems.We propose the tensor train decomposition (TT) as a unified framework for surrogate modeling and sensitivity analysis of independently distributed variables. To this end, we introduce the Sobol tensor train (Sobol TT) data structure, which compactly represents variance components for all possible joint variable interactions of any order. Our formulation allows efficient aggregation and subselection operations, and we are able to obtain related Sobol indices and other related quantities at low computational cost.