Finding efficient solutions in the interval multi-objective linear programming models

DOI10.2298/YJOR190817034BzbMath1474.90274OpenAlexW3115927920MaRDI QIDQ3388946

Aida Batamiz, Mehdi Allahdadi

Publication date: 7 May 2021

Published in: Yugoslav Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2298/yjor190817034b

zbMATH Keywords

uncertaintyMonte Carlo simulationvarianceexpected valueefficient solutioninterval multi-objective linear programming

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Multi-objective and goal programming (90C29) Linear programming (90C05)

Cites Work

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• Minimax regret solution to multiobjective linear programming problems with interval objective functions coefficients
• Weak and strong solvability of interval linear systems of equations and inequalities
• The optimal solution set of the interval linear programming problems
• Possible and necessary efficiency in possibilistic multiobjective linear programming problems and possible efficiency test
• Goal programming problems with interval coefficients and target intervals
• Multiple objective linear programming models with interval coefficients -- an illustrated overview
• Enhanced-interval linear programming
• Minimax regret solution to linear programming problems with an interval objective function
• Complexity of necessary efficiency in interval linear programming and multiobjective linear programming
• Using modified maximum regret for finding a necessarily efficient solution in an interval MOLP problem
• Solution of multiobjective linear programming problems in interval-valued intuitionistic fuzzy environment
• Multiobjective interval linear programming in admissible-order vector space
• Monte Carlo simulation for computing the worst value of the objective function in the interval linear programming
• On comonotonic functions of uncertain variables
• A new approach for uncertain multiobjective programming problem based on \(\mathcal{P}_{E}\) principle
• Uncertain multiobjective traveling salesman problem
• Linear programming with interval coefficients
• An achievement rate approach to linear programming problems with an interval objective function
• Weighted sum of maximum regrets in an interval MOLP problem
• Grey linear programming, its solving approach, and its application
• A sufficient and necessary condition of uncertainty distribution
• Multi‐objective linear programming with interval coefficients

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