Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Multi-objective microsimulation× | Symulacja Monte Carlo× | |
|---|---|---|
| Dziedzina≠ | Symulacja | Podejmowanie decyzji |
| Rodzina≠ | Process / pipeline | MCDM |
| Rok powstania≠ | 1957 (microsimulation); 2000s (multi-objective extension) | 1949 |
| Twórca≠ | Orcutt, G. H. (microsimulation); multi-objective extension developed by policy modeling community | Metropolis, N., Ulam, S. |
| Typ≠ | Simulation-based policy evaluation | Robustness wrapper — Monte Carlo uncertainty propagation |
| Źródło pierwotne≠ | Orcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116-123. DOI ↗ | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| Inne nazwy≠ | MO-Microsim, Multi-criteria microsimulation, Multi-objective policy microsimulation, MOMS | — |
| Pokrewne≠ | 5 | 0 |
| Podsumowanie≠ | Multi-objective microsimulation extends the classic microsimulation framework by simultaneously tracking and optimizing several competing policy objectives — such as efficiency, equity, fiscal cost, and social welfare — across a heterogeneous population of individual units. It produces a Pareto frontier of policy options rather than a single recommended solution, enabling transparent tradeoff analysis for complex policy decisions. | 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. |
| ScholarGateZbiór danych ↗ |
|
|