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برنامه‌ریزی هدف تصادفی×برنامه‌ریزی هدف×
حوزهشبیه‌سازیتصمیم‌گیری
خانوادهProcess / pipelineMCDM
سال پیدایش19681955
پدیدآورContini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
نوعStochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
منبع بنیادینContini, 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 ↗
نام‌های دیگرSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
مرتبط68
خلاصهStochastic 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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ScholarGateمقایسهٔ روش‌ها: Stochastic Goal Programming · GOAL-PROGRAMMING. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare