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پویایی‌شناسی سیستم تصادفی×تحلیل حساسیت×
حوزهشبیه‌سازیتصمیم‌گیری
خانوادهProcess / pipelineMCDM
سال پیدایش1980s–2000s2004
پدیدآورJay W. Forrester (base SD); stochastic extensions developed through 1980s–2000s by multiple researchersSaltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
نوعContinuous stochastic simulationRobustness wrapper — parameter / weight perturbation sensitivity indices
منبع بنیادینSterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. ISBN: 978-0072389159Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
نام‌های دیگرSSD, stochastic stock-flow modelling, probabilistic system dynamics, random system dynamics
مرتبط50
خلاصهStochastic System Dynamics (SSD) extends conventional system dynamics by replacing fixed parameter values and deterministic flow equations with probability distributions and random draws. Running many replications of the stock-flow model yields probabilistic trajectories — confidence bands rather than single lines — enabling rigorous uncertainty quantification and risk analysis in complex feedback systems such as epidemic models, supply chains, and energy policy scenarios.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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ScholarGateمقایسهٔ روش‌ها: Stochastic System Dynamics · SENSITIVITY-ANALYSIS. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare