Public Member Functions
NonDLHSEvidence Class Reference

Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ. More...

Inheritance diagram for NonDLHSEvidence:
NonDLHSInterval NonDInterval NonD Analyzer Iterator

List of all members.

Public Member Functions

 NonDLHSEvidence (Model &model)
 constructor
 ~NonDLHSEvidence ()
 destructor
void initialize ()
 perform any required initialization
void post_process_samples ()
 post-process the output from executing lhsSampler

Detailed Description

Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ.

The NonDEvidence class implements the propagation of epistemic uncertainty using Dempster-Shafer theory of evidence. In this approach, one assigns a set of basic probability assignments (BPA) to intervals defined for the uncertain variables. Input interval combinations are calculated, along with their BPA. Currently, the response function is evaluated at a set of sample points, then a response surface is constructed which is sampled extensively to find the minimum and maximum within each input interval cell, corresponding to the belief and plausibility within that cell, respectively. This data is then aggregated to calculate cumulative distribution functions for belief and plausibility.


The documentation for this class was generated from the following files: