Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Policy Scenario Goal Programming× | Målprogrammering× | |
|---|---|---|
| Fagfelt≠ | Simulering | Beslutningstaking |
| Familie≠ | Process / pipeline | MCDM |
| Opprinnelsesår≠ | 1961 (goal programming); policy scenario application 1980s–present | 1955 |
| Opphavsperson≠ | Charnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literature | Charnes, A., Cooper, W. W. |
| Type≠ | Optimization under multiple conflicting goals across policy scenarios | Multi-objective optimisation — weighted/lexicographic goal deviation minimisation |
| Opprinnelig kilde≠ | Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471153405 | Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗ |
| Alias≠ | PSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming | — |
| Relaterte≠ | 5 | 8 |
| Sammendrag≠ | 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. |
| ScholarGateDatasett ↗ |
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