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Robust Scenario Analysis/Evidence
Method evidence record

Robust Scenario Analysis

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Robust Scenario Analysis — Worst-case and minimax regret scenario evaluation under deep uncertainty
Taxonomic method record · process-pipeline / simulation
  • Wald, A. (1950). Statistical Decision Functions. Wiley, New York. · URL
  • Lempert, R. J., Popper, S. W., Bankes, S. C. (2003). Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. RAND Corporation, Santa Monica, CA. · ISBN 9780833032751
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Multi-Objective Optimizationmachine-suggested · Relational suggestion, not evidence.Same method familyRobust Optimizationmachine-suggested · Relational suggestion, not evidence.See alsoSENSITIVITY-ANALYSISmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Scenario Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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