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분야시뮬레이션의사결정
계열Process / pipelineMCDM
기원 연도19681955
창시자Contini, B. (building on Charnes & Cooper's chance-constrained programming)Charnes, A., Cooper, W. W.
유형Stochastic multi-goal optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
원전Contini, 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 ↗
별칭SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
관련68
요약Stochastic 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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ScholarGate방법 비교: Stochastic Goal Programming · GOAL-PROGRAMMING. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare