Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Стохастическое целевое программирование× | Программирование целевых установок× | |
|---|---|---|
| Область≠ | Имитационное моделирование | Принятие решений |
| Семейство≠ | Process / pipeline | MCDM |
| Год появления≠ | 1968 | 1955 |
| Автор метода≠ | Contini, B. (building on Charnes & Cooper's chance-constrained programming) | Charnes, A., Cooper, W. W. |
| Тип≠ | Stochastic multi-goal optimization | Multi-objective optimisation — weighted/lexicographic goal deviation minimisation |
| Основополагающий источник≠ | Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586. DOI ↗ | Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗ |
| Другие названия≠ | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming | — |
| Связанные≠ | 6 | 8 |
| Сводка≠ | Stochastic Goal Programming (SGP) extends classical goal programming to handle uncertainty in goal targets, constraint coefficients, or right-hand-side parameters. By incorporating probabilistic constraints and stochastic objective components, it finds solutions that satisfy multiple goals at acceptable probability levels, making it suitable for decision problems where data are inherently uncertain or variable. | GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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