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चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

रोबस्ट गोल प्रोग्रामिंग×लक्ष्य प्रोग्रामिंग×
क्षेत्रअनुकरणनिर्णयन
परिवारProcess / pipelineMCDM
उद्भव वर्ष1961 (GP); 1990s (robust extension)1955
प्रवर्तकCharnes, A. & Cooper, W. W. (goal programming); Mulvey, J. M. et al. (robust optimization framework)Charnes, A., Cooper, W. W.
प्रकारMathematical programming under uncertaintyMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
मौलिक स्रोतCharnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471155041Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
उपनामRGP, Goal Programming under Uncertainty, Robust GP, Uncertainty-Aware Goal Programming
संबंधित58
सारांशRobust Goal Programming (RGP) extends classical goal programming to handle uncertain or ambiguous model parameters. Instead of minimizing deviations from crisp targets, it seeks solutions that remain feasible and near-optimal across a range of plausible scenarios or uncertain data realizations. RGP is particularly valuable in planning problems where goals are aspirational and input data carries inherent variability or estimation error.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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