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Programowanie Celów Stochastycznych×Programowanie celowe×
DziedzinaSymulacjaPodejmowanie decyzji
RodzinaProcess / pipelineMCDM
Rok powstania19681955
TwórcaContini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
TypStochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Źródło pierwotneContini, 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 ↗
Inne nazwySGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
Pokrewne68
PodsumowanieStochastic 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.
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ScholarGatePorównaj metody: Stochastic Goal Programming · GOAL-PROGRAMMING. Pobrano 2026-06-15 z https://scholargate.app/pl/compare