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स्टोकेस्टिक सिस्टम डायनेमिक्स×संवेदनशीलता विश्लेषण×
क्षेत्रअनुकरणनिर्णयन
परिवारProcess / pipelineMCDM
उद्भव वर्ष1980s–2000s2004
प्रवर्तकJay W. Forrester (base SD); stochastic extensions developed through 1980s–2000s by multiple researchersSaltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
प्रकारContinuous stochastic simulationRobustness wrapper — parameter / weight perturbation sensitivity indices
मौलिक स्रोतSterman, 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 ↗
उपनामSSD, stochastic stock-flow modelling, probabilistic system dynamics, random system dynamics
संबंधित50
सारांशStochastic 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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ScholarGateविधियों की तुलना करें: Stochastic System Dynamics · SENSITIVITY-ANALYSIS. 2026-06-17 को यहाँ से प्राप्त https://scholargate.app/hi/compare