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方法族Process / pipelineMCDM
起源年份1961 (goal programming); policy scenario application 1980s–present1955
提出者Charnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literatureCharnes, A., Cooper, W. W.
类型Optimization under multiple conflicting goals across policy scenariosMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
开创性文献Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471153405Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
别名PSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming
相关58
摘要Policy Scenario Goal Programming (PSGP) integrates goal programming optimization with policy scenario analysis to evaluate how well competing policy objectives can be achieved under distinct future conditions. Decision-makers define multiple goals and several plausible policy scenarios, then solve a goal programming model for each scenario to identify which policy strategies best satisfy priority targets across the full scenario space.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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  3. PUBLISHED

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ScholarGate方法对比: Policy Scenario Goal Programming · GOAL-PROGRAMMING. 于 2026-06-17 检索自 https://scholargate.app/zh/compare