Mixed aleatory and epistemic uncertainty quantification using fuzzy set theory

DOI10.1016/J.IJAR.2015.07.002zbMath1344.68259OpenAlexW966993037MaRDI QIDQ900259

Robert M. Kirby, Mahsa Mirzargar, Yanyan He

Publication date: 22 December 2015

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2015.07.002

zbMATH Keywords

fuzzy setepistemic uncertaintyuncertainty modelingaleatory uncertaintymarching cubes algorithmisocontour extraction

Mathematics Subject Classification ID

Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Fuzzy probability (60A86)

Related Items (5)

Random model with fuzzy distribution parameters for hybrid uncertainty propagation in engineering systems ⋮ Uncertainty propagation of p-boxes using sparse polynomial chaos expansions ⋮ Robust power series algorithm for epistemic uncertainty propagation in Markov chain models ⋮ Mixed aleatory and epistemic uncertainty propagation using Dempster-Shafer theory ⋮ Functional sensitivity analysis of ruin probability in the classical risk models

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