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Programación por Metas Estocástica×Programación por Objetivos×
CampoSimulaciónToma de decisiones
FamiliaProcess / pipelineMCDM
Año de origen19681955
Autor originalContini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
TipoStochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Fuente seminalContini, 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 ↗
AliasSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
Relacionados68
ResumenStochastic 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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ScholarGateComparar métodos: Stochastic Goal Programming · GOAL-PROGRAMMING. Recuperado el 2026-06-15 de https://scholargate.app/es/compare