Imprecise probability propagation Toolbox

Version 1.0.0.0 (21.4 KB) by Philipp Limbourg
Various methods for presentation, propagation, aggregation and plotting imprecise probability ...
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Updated 18 Aug 2007

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The IPP toolbox is a collection of methods for the handling of imprecise probabilities.

Contains:
- Methods for constructing Dempster-Shafer structures (DSS) by different sampling strategies
- Propagation methods using deterministic and Monte-Carlo sampling. Supports Optimization Toolbox routines for solving nonlinear interval optimization problems.
- Input dependencies using Gaussian Copulas
- Aggregation rules: Dempster's rule & weighted mixing
- Uncertainty measures
- Sensitivity analysis
- Plotting and size-reduction techniques

For documentation, type "help file".
For getting started: type "dsexample"

Cite As

Philipp Limbourg (2026). Imprecise probability propagation Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/9379-imprecise-probability-propagation-toolbox), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13SP1
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Aggregation/

Core/

Discretization/

Examples/

Measures/

Optimizers/

Plotting/

Sensitivity/

Version Published Release Notes
1.0.0.0

Enhanced speedup
New fucntions for
- Sensitivity analysis
- Uncertainty measures
- Monte-Carlo propagation
- Plotting