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方法族Process / pipelineMCDM
起源年份19681955
提出者Contini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
类型Stochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
开创性文献Contini, 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 ↗
别名SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
相关68
摘要Stochastic 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.
ScholarGate数据集
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  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

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ScholarGate方法对比: Stochastic Goal Programming · GOAL-PROGRAMMING. 于 2026-06-15 检索自 https://scholargate.app/zh/compare