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تحلیل سناریو و شبیه‌سازی چه-اگر×شبیه‌سازی مونت کارلو×
حوزهشبیه‌سازیتصمیم‌گیری
خانوادهProcess / pipelineMCDM
سال پیدایش1950s (origins); widely adopted in management since 1970s1949
پدیدآورPeter Schwartz (scenario planning formalization), Herman Kahn (RAND Corporation, 1950s–60s)Metropolis, N., Ulam, S.
نوعStructured analytical approach / simulationRobustness wrapper — Monte Carlo uncertainty propagation
منبع بنیادینGoodwin, P. & Wright, G. (2014). Decision Analysis for Management Judgment (5th ed.). Wiley. ISBN: 978-1118173671Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
نام‌های دیگرwhat-if analysis, what-if simulation, stress testing, scenario planning
مرتبط30
خلاصهScenario 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.
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ScholarGateمقایسهٔ روش‌ها: Scenario Analysis · MONTE-CARLO-SIMULATION. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare