ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Stokastisk Målprogrammering×Målprogrammering×
FagområdeSimuleringBeslutningstagning
FamilieProcess / pipelineMCDM
Oprindelsesår19681955
OphavspersonContini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
TypeStochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Oprindelig kildeContini, 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 ↗
AliasserSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
Relaterede68
ResuméStochastic 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.
ScholarGateDatasæt
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 1 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: Stochastic Goal Programming · GOAL-PROGRAMMING. Hentet 2026-06-15 fra https://scholargate.app/da/compare