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Robust Scenario Analysis — Evaluering af worst-case og minimax regret under dyb usikkerhed

Robust Scenario Analysis evaluerer et sæt af kandidatstrategier på tværs af en struktureret samling af plausible fremtidige scenarier og vælger den strategi, der præsterer acceptabelt godt — eller bedst i worst-case — uanset hvilket scenarie der materialiserer sig. Den kombinerer scenarieplanlægning med robusthedskriterier som maximin, minimax regret eller satisficing for at understøtte beslutninger under dyb, irredicibel usikkerhed.

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Kilder

  1. Wald, A. (1950). Statistical Decision Functions. Wiley, New York. link
  2. 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

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Scenario Analysis — Worst-case and minimax regret scenario evaluation under deep uncertainty. ScholarGate. https://scholargate.app/da/simulation/robust-scenario-analysis

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ScholarGateRobust Scenario Analysis (Robust Scenario Analysis — Worst-case and minimax regret scenario evaluation under deep uncertainty). Hentet 2026-06-15 fra https://scholargate.app/da/simulation/robust-scenario-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026