Description
Uncertainty quantification and propagation in the framework of
Dempster-Shafer Theory and imprecise probabilities. This toolbox offers
easy-to-use methods for using imprecise probabities for applied uncertainty
modelling and simulation. The package comprises the basic functionality
needed, with usability similar to standard probabilistic analysis:
- Fit imprecise probability distributions from data,
- Define imprecise probabilities based on distribution functions,
- Combine with various aggregation rules (e. g. Dempster's rule),
- Plotting tools,
- Propagate through arbitrary functions / simulations via Monte Carlo,
- Perform sensitivity analyses with imprecise distributions,
- Example models for a quick start.