ScholarGate
Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Upangaji Malengo wa Matukio ya Sera×Mpangilio wa Malengo×
NyanjaUigajiUfanyaji Maamuzi
FamiliaProcess / pipelineMCDM
Mwaka wa asili1961 (goal programming); policy scenario application 1980s–present1955
MwanzilishiCharnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literatureCharnes, A., Cooper, W. W.
AinaOptimization under multiple conflicting goals across policy scenariosMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Chanzo asiliaCharnes, 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 ↗
Majina mbadalaPSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming
Zinazohusiana58
MuhtasariPolicy 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.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Policy Scenario Goal Programming · GOAL-PROGRAMMING. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare