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Analiza osjetljivosti na temelju scenarija politike×Analiza osjetljivosti×
PodručjeSimulacijaDonošenje odluka
ObiteljProcess / pipelineMCDM
Godina nastanka1990s–2000s2004
TvoracSaltelli, A. et al.; Lempert, R. J. et al.Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
VrstaAnalytical framework combining scenario planning with sensitivity analysisRobustness wrapper — parameter / weight perturbation sensitivity indices
Temeljni izvorSaltelli, 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: 9780470059975Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
Drugi naziviPSSA, Policy Sensitivity Analysis, Scenario-Based Sensitivity Analysis, Policy Robustness Analysis
Srodne50
SažetakPolicy 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.
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ScholarGateUsporedite metode: Policy Scenario Sensitivity Analysis · SENSITIVITY-ANALYSIS. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare