방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 정책 시나리오 민감도 분석× | 민감도 분석× | |
|---|---|---|
| 분야≠ | 시뮬레이션 | 의사결정 |
| 계열≠ | Process / pipeline | MCDM |
| 기원 연도≠ | 1990s–2000s | 2004 |
| 창시자≠ | Saltelli, A. et al.; Lempert, R. J. et al. | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| 유형≠ | Analytical framework combining scenario planning with sensitivity analysis | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| 원전≠ | 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 ↗ |
| 별칭≠ | PSSA, Policy Sensitivity Analysis, Scenario-Based Sensitivity Analysis, Policy Robustness Analysis | — |
| 관련≠ | 5 | 0 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
|
|