Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Системна динаміка× | Метод Монте-Карло× | |
|---|---|---|
| Галузь≠ | Імітаційне моделювання | Прийняття рішень |
| Родина≠ | Process / pipeline | MCDM |
| Рік появи≠ | 1961 | 1949 |
| Автор методу≠ | Jay W. Forrester | Metropolis, N., Ulam, S. |
| Тип≠ | Continuous simulation / feedback modelling | Robustness wrapper — Monte Carlo uncertainty propagation |
| Основоположне джерело≠ | Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. ISBN: 978-0072389159 | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| Інші назви≠ | stock-flow modelling, Sistem Dinamiği (Stock-Flow Modelleme), SD modelling, feedback simulation | — |
| Пов'язані≠ | 3 | 0 |
| Підсумок≠ | System dynamics is a continuous simulation method, developed by Jay W. Forrester at MIT in 1961, that represents a complex system through stocks (accumulations), flows (rates of change), and feedback loops. By expressing these relationships as coupled ordinary differential equations, it reproduces how policies, delays, and nonlinear feedbacks drive system behaviour over time — making it a cornerstone tool in policy analysis, organisational modelling, and sustainability research. | 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. |
| ScholarGateНабір даних ↗ |
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