手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 政策シナリオ感度分析× | 感度分析× | |
|---|---|---|
| 分野≠ | シミュレーション | 意思決定 |
| 系統≠ | Process / pipeline | MCDM |
| 提唱年≠ | 1990s–2000s | 2004 |
| 提唱者≠ | Saltelli, A. et al.; Lempert, R. J. et al. | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| 種類≠ | Analytical framework combining scenario planning with sensitivity analysis | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| 原典≠ | Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. John Wiley & Sons, Chichester. ISBN: 9780470059975 | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| 別名≠ | PSSA, Policy Sensitivity Analysis, Scenario-Based Sensitivity Analysis, Policy Robustness Analysis | — |
| 関連≠ | 5 | 0 |
| 概要≠ | Policy Scenario Sensitivity Analysis (PSSA) combines structured scenario planning with formal sensitivity analysis to determine which model inputs and policy parameters most strongly drive outcomes across a set of distinct policy alternatives or future states. It is widely used in public health, climate, energy, and economic policy modeling to identify robust interventions that perform well even when key assumptions vary. | 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. |
| ScholarGateデータセット ↗ |
|
|