PROMISE/scenarios: an interactive method for multiobjective stochastic linear programming under partial uncertainty.

From MaRDI portal
Publication:1427556

DOI10.1016/S0377-2217(02)00859-7zbMath1045.90060MaRDI QIDQ1427556

Raymond Nadeau, Bruno Urli

Publication date: 14 March 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)




Related Items (19)

Portfolio optimization under partial uncertainty and incomplete information: a probability multimeasure-based approachA biobjective chance constrained optimization model to evaluate the economic and environmental impacts of biopower supply chainsStochastic efficiency and inefficiency in portfolio optimization with incomplete information: a set-valued probability approachAspiration level approach in stochastic MCDM problemsMultiple objective linear programming models with interval coefficients -- an illustrated overviewInteractive procedure for a multiobjective stochastic discrete dynamic problemA synchronous reference point-based interactive method for stochastic multiobjective programmingSolution approaches for the multiobjective stochastic programmingAn interactive fuzzy satisficing method based on variance minimization under expectation constraints for multiobjective stochastic linear programming problemsOn sufficiency and duality for a class of interval-valued programming problemsOn optimality conditions and duality for non-differentiable interval-valued programming problems with the generalized \((F, \rho)\)-convexityInteractive multiobjective optimization with NIMBUS for decision making under uncertaintyBi-objective mean–variance method based on Chebyshev inequality bounds for multi-objective stochastic problemsINTERACTIVE FUZZY PROGRAMMING BASED ON FRACTILE CRITERION OPTIMIZATION MODEL FOR TWO-LEVEL STOCHASTIC LINEAR PROGRAMMING PROBLEMSCoupling input-output analysis with multiobjective linear programming models for the study of economy-energy-environment-social (E3S) trade-offs: a reviewAn interactive satisficing method based on alternative tolerance for fuzzy multiple objective optimizationINTEREST: A reference-point-based interactive procedure for stochastic multiobjective programming problemsISTMO: An interval reference point-based method for stochastic multiobjective programming problemsA compromise solution for the multiobjective stochastic linear programming under partial uncertainty



Cites Work


This page was built for publication: PROMISE/scenarios: an interactive method for multiobjective stochastic linear programming under partial uncertainty.