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Programarea Stocastică a Obiectivelor×Programarea obiectivelor×
DomeniuSimulareLuarea deciziilor
FamilieProcess / pipelineMCDM
Anul apariției19681955
Autorul originalContini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
TipStochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Sursa seminalăContini, 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 ↗
Denumiri alternativeSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
Înrudite68
RezumatStochastic 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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ScholarGateCompară metode: Stochastic Goal Programming · GOAL-PROGRAMMING. Preluat la 2026-06-15 de pe https://scholargate.app/ro/compare