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Anàlisi de Escenaris Determinístics×Anàlisi de Sensibilitat×
CampSimulacióPresa de decisions
FamíliaProcess / pipelineMCDM
Any d'origen19672004
Autor originalKahn, H., Wiener, A. J. (RAND Corporation / Hudson Institute)Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
TipusExploratory planning and decision-support frameworkRobustness wrapper — parameter / weight perturbation sensitivity indices
Font seminalKahn, H., Wiener, A. J. (1967). The Year 2000: A Framework for Speculation on the Next Thirty-Three Years. Macmillan, New York. ISBN: 9780025604407Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
ÀliesDSA, Fixed-Input Scenario Analysis, Classical Scenario Analysis, Deterministic What-If Analysis
Relacionats50
ResumDeterministic Scenario Analysis (DSA) is a structured planning method in which analysts construct a finite set of internally consistent future scenarios, each defined by fixed, precisely specified parameter values rather than probability distributions. By running a model or calculation under each scenario's fixed inputs, decision-makers can map how outcomes diverge across plausible futures and stress-test strategies without requiring full probabilistic characterization of 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.
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ScholarGateCompara mètodes: Deterministic Scenario Analysis · SENSITIVITY-ANALYSIS. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare