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स्टोकेस्टिक गोल प्रोग्रामिंग×लक्ष्य प्रोग्रामिंग×
क्षेत्रअनुकरणनिर्णयन
परिवारProcess / pipelineMCDM
उद्भव वर्ष19681955
प्रवर्तकContini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
प्रकारStochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
मौलिक स्रोतContini, 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 ↗
उपनामSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
संबंधित68
सारांशStochastic 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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ScholarGateविधियों की तुलना करें: Stochastic Goal Programming · GOAL-PROGRAMMING. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare