Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Epistemic uncertainty is uncertainty due to lack of knowledge.

In Dakota, epistemic uncertainty is characterized by interval analysis or the Dempster-Shafer theory of evidence.

Note that epistemic uncertainty can also be modeled with probability density functions - similarly to aleatory uncertainty Dakota does not support this capability.

Related Topics

Related Keywords

  • continuous_interval_uncertain : Epistemic uncertain variable - values from one or more continuous intervals
  • discrete_interval_uncertain : Epistemic uncertain variable - values from one or more discrete intervals
  • discrete_uncertain_set : Epistemic uncertain variable - discrete set-valued
  • integer : Discrete, epistemic uncertain variable - integers within a set
  • real : Discrete, epistemic uncertain variable - real numbers within a set
  • string : Discrete, epistemic uncertain variable - strings within a set