Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Multi-objective sensitivity analysis× | Многокритериальное целевое программирование× | |
|---|---|---|
| Область | Имитационное моделирование | Имитационное моделирование |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s | 1961 |
| Автор метода≠ | Evolved from classical sensitivity analysis (Saltelli et al.) combined with multi-objective optimization (Pareto, 1896) | Charnes, A. and Cooper, W. W. |
| Тип≠ | Analytical technique — parametric sensitivity across multiple objectives | Mathematical programming / multi-criteria optimization |
| Основополагающий источник≠ | Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley, Chichester. ISBN: 9780470059975 | Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 978-0471148258 |
| Другие названия | MOSA, Multi-criteria sensitivity analysis, Pareto sensitivity analysis, Multi-objective SA | MOGP, Multi-goal programming, Vector goal programming, Multi-criteria goal programming |
| Связанные | 4 | 4 |
| Сводка≠ | Multi-Objective Sensitivity Analysis (MOSA) examines how changes in model parameters, weights, or assumptions affect an entire set of competing objectives simultaneously. Rather than asking how a single output shifts, MOSA tracks changes in the Pareto front or trade-off surface, revealing which parameters most destabilize multi-objective solutions and where decision-maker choices are robust versus fragile. | Multi-Objective Goal Programming (MOGP) is a mathematical programming technique that simultaneously pursues several aspirational targets by minimizing weighted deviations from each goal. Rooted in Charnes and Cooper's original goal programming framework (1961), MOGP extends it to handle multiple competing objectives, making it indispensable in operations research, supply chain design, resource allocation, and policy analysis where decision-makers must satisfy — or come close to — multiple conflicting requirements at once. |
| ScholarGateНабор данных ↗ |
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