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Policy Scenario Goal Programming/证据
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Policy Scenario Goal Programming

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.

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源记录

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Policy Scenario Goal Programming — Goal programming applied within policy scenario frameworks
分类方法记录 · process-pipeline / simulation
  • Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. · ISBN 9780471153405
  • Ignizio, J. P. (1976). Goal Programming and Extensions. Lexington Books, Lexington, MA. · URL
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See alsoGOAL-PROGRAMMINGmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-objective goal programmingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPolicy Scenario Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust goal programmingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Goal Programmingmachine-suggested · Relational suggestion, not evidence.

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