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| Stokastisk Scenarieanalyse× | Følsomhedsanalyse× | |
|---|---|---|
| Fagområde≠ | Simulering | Beslutningstagning |
| Familie≠ | Process / pipeline | MCDM |
| Oprindelsesår≠ | 1955–1980s | 2004 |
| Ophavsperson≠ | Dantzig, G. B.; Birge, J. R.; and others in stochastic programming tradition | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| Type≠ | Probabilistic scenario enumeration and evaluation | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| Oprindelig kilde≠ | Birge, J. R., Louveaux, F. (2011). Introduction to Stochastic Programming (2nd ed.). Springer. ISBN: 9781461402374 | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| Aliasser≠ | Probabilistic Scenario Analysis, SSA, Stochastic What-If Analysis, Monte Carlo Scenario Analysis | — |
| Relaterede≠ | 4 | 0 |
| Resumé≠ | Stochastic Scenario Analysis evaluates a system or decision across multiple explicitly defined scenarios, each assigned a probability of occurrence. Unlike deterministic scenario analysis, it propagates uncertainty through probability distributions and computes expected outcomes, variance, and risk metrics across the scenario space, giving decision-makers a structured view of what could happen and how likely each outcome is. | SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatasæt ↗ |
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