Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Стохастично целево програмиране× | Программиране с целеви стойности (Goal Programming)× | |
|---|---|---|
| Област≠ | Симулационно моделиране | Вземане на решения |
| Семейство≠ | Process / pipeline | MCDM |
| Година на възникване≠ | 1968 | 1955 |
| Създател≠ | 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 |
| Основополагащ източник≠ | 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 ↗ |
| Други названия≠ | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming | — |
| Свързани≠ | 6 | 8 |
| Резюме≠ | 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 от данни ↗ |
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