Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Stohastiskā mērķprogramēšana× | Mērķprogramēšana× | |
|---|---|---|
| Nozare≠ | Simulācija | Lēmumu pieņemšana |
| Saime≠ | Process / pipeline | MCDM |
| Izcelsmes gads≠ | 1968 | 1955 |
| Autors≠ | Contini, B. (building on Charnes & Cooper's chance-constrained programming) | Charnes, A., Cooper, W. W. |
| Tips≠ | Stochastic multi-goal optimization | Multi-objective optimisation — weighted/lexicographic goal deviation minimisation |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi≠ | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming | — |
| Saistītās≠ | 6 | 8 |
| Kopsavilkums≠ | 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. |
| ScholarGateDatu kopa ↗ |
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