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| Анализ на сценарии и симулация „Какво ако“× | Монте Карло симулация× | |
|---|---|---|
| Област≠ | Симулационно моделиране | Вземане на решения |
| Семейство≠ | Process / pipeline | MCDM |
| Година на възникване≠ | 1950s (origins); widely adopted in management since 1970s | 1949 |
| Създател≠ | Peter Schwartz (scenario planning formalization), Herman Kahn (RAND Corporation, 1950s–60s) | Metropolis, N., Ulam, S. |
| Тип≠ | Structured analytical approach / simulation | Robustness wrapper — Monte Carlo uncertainty propagation |
| Основополагащ източник≠ | Goodwin, P. & Wright, G. (2014). Decision Analysis for Management Judgment (5th ed.). Wiley. ISBN: 978-1118173671 | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| Други названия≠ | what-if analysis, what-if simulation, stress testing, scenario planning | — |
| Свързани≠ | 3 | 0 |
| Резюме≠ | Scenario analysis is a structured analytical approach that systematically compares system outputs across different combinations of uncertain input values. When paired with a quantitative model, it becomes a simulation — capable of stress-testing assumptions and projecting the range of plausible outcomes. Formalised in strategic planning by Peter Schwartz and Herman Kahn from the 1950s onward, the method is widely used in policy evaluation, business forecasting, financial risk assessment, and scientific model exploration. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор от данни ↗ |
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