SWMM Uncertainty
What this skill provides
- User-defined fuzzy membership functions for SWMM parameters.
- Baseline-aware triangular fuzzy numbers, where the current model value is the default triangle peak.
- Alpha-cut transformation from fuzzy membership functions to parameter intervals.
- LHS, random, or boundary sampling inside each alpha-cut interval.
- Monte Carlo parameter sampling for prior or calibration-informed probability distributions.
- Normal/lognormal/truncated-normal/unif
[Description truncada. Veja o README completo no GitHub.]