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Pengaturcaraan Matlamat Stokastik×Pengaturcaraan Matlamat×
BidangSimulasiPembuatan Keputusan
KeluargaProcess / pipelineMCDM
Tahun asal19681955
PengasasContini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
JenisStochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Sumber perintisContini, 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 ↗
AliasSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
Berkaitan68
RingkasanStochastic 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.
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ScholarGateBandingkan kaedah: Stochastic Goal Programming · GOAL-PROGRAMMING. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare