Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Tugev stsenaariumianalüüs× | Tundlikkusanalüüs× | |
|---|---|---|
| Valdkond≠ | Simulatsioon | Otsustamine |
| Perekond≠ | Process / pipeline | MCDM |
| Tekkeaasta≠ | 1950 (foundations); 2003 (modern RDM formulation) | 2004 |
| Looja≠ | Wald, A. (minimax foundation); Lempert et al. (RDM framework) | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| Tüüp≠ | Scenario-based robustness evaluation | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| Algallikas≠ | Wald, A. (1950). Statistical Decision Functions. Wiley, New York. link ↗ | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| Rööpnimetused≠ | RSA, Robust Scenario Planning, Worst-Case Scenario Analysis, Minimax Regret Scenario Analysis | — |
| Seotud≠ | 5 | 0 |
| Kokkuvõte≠ | Robust Scenario Analysis evaluates a set of candidate strategies across a structured collection of plausible future scenarios and selects the strategy that performs acceptably well — or best in the worst case — regardless of which scenario materializes. It merges scenario planning with robustness criteria such as maximin, minimax regret, or satisficing to support decisions under deep, irreducible uncertainty. | 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. |
| ScholarGateAndmestik ↗ |
|
|