مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| تحلیل سناریوی بیزی× | تحلیل سناریوی قوی× | |
|---|---|---|
| حوزه | شبیهسازی | شبیهسازی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 2000s | 1950 (foundations); 2003 (modern RDM formulation) |
| پدیدآور≠ | Developed iteratively across Bayesian statistics and scenario planning communities; formalized in risk and decision analysis (Aven, Lempert et al., 2000s) | Wald, A. (minimax foundation); Lempert et al. (RDM framework) |
| نوع≠ | Probabilistic hybrid — Bayesian inference integrated with structured scenario analysis | Scenario-based robustness evaluation |
| منبع بنیادین≠ | Aven, T., & Reniers, G. (2013). How to define and interpret a probability in a risk and safety setting. Safety Science, 51(1), 223–231. DOI ↗ | Wald, A. (1950). Statistical Decision Functions. Wiley, New York. link ↗ |
| نامهای دیگر | BSA, Bayesian scenario planning, probabilistic scenario analysis, Bayesian-weighted scenario analysis | RSA, Robust Scenario Planning, Worst-Case Scenario Analysis, Minimax Regret Scenario Analysis |
| مرتبط | 5 | 5 |
| خلاصه≠ | Bayesian Scenario Analysis (BSA) combines structured scenario planning with Bayesian probability theory, assigning explicit prior probabilities to alternative futures and updating them as new evidence or expert judgments become available. The result is a probability-weighted distribution of outcomes across scenarios rather than a set of equally-weighted or arbitrarily-weighted futures. | 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. |
| ScholarGateمجموعهداده ↗ |
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