Classical and imprecise probability methods for sensitivity analysis in engineering: A case study

International Journal of Approximate Reasoning

Volumn 50, Issue 4, 2009, Pages 680-693

  Oberguggenberger, Michael ^a   King, Julian ^b   Schmelzer, Bernhard ^a  

^a UNIVERSITY OF INNSBRUCK   (Austria)

^b ERICH SCHMID INSTITUTE OF MATERIALS SCIENCE   (Austria)

Author keywords

Aerospace engineering; Fuzzy sets; Random sets; Reliability of structures; Sensitivity analysis; Simulation methods

Indexed keywords

AEROSPACE ENGINEERING; FUZZY SETS; MODELS; MONTE CARLO METHODS; QUALITY ASSURANCE; RELIABILITY ANALYSIS; SYSTEMS ENGINEERING;

CAUCHY DISTRIBUTIONS; COMPUTATIONAL COSTS; DIRECT MONTE CARLO SIMULATIONS; ENGINEERING APPLICATIONS; ENGINEERING MODELS; IMPRECISE PROBABILITIES; IMPRECISE PROBABILITY THEORIES; INPUT PARAMETERS; INTERPRETABILITY; LARGE-SCALE PROBLEMS; OUTPUT VALUES; RANDOM SETS; SENSITIVITY INDICES; SIMULATION METHODS;

SENSITIVITY ANALYSIS;

EID: 62949120472     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2008.09.004     Document Type: Article

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