Add to ORKGProposes a decision making under uncertainty approach for treating linear programming under uncertainty. The author formulates a payoff matrix for the linear program and then apply the usual decision analysis criteria. Also, the problems encountered in converting a linear program under uncertainty to one under ris
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
Abstract: Linear optimization problems are investigated whose parameters are uncertain. We apply coh...
Abstract We consider linear programming problems with uncertain constraint coefficients described by...
Proposes a decision making under uncertainty approach for treating linear programming under uncertai...
A frequently used approach to linear programming problems with only vaguely known coefficients of th...
A unique uncertainty model can not deal with an uncertain phenomenon that is changing and dynamic. F...
Linear programming (LP) is one of the great successes to emerge from operations research and managem...
This paper considers a constrained optimisation problem under uncertainty with at least one element ...
This paper deals with decision making in a real time optimization context under uncertain data by li...
Linear programming is a fundamental planning tool. It is often difficult to precisely estimate or fo...
This paper considers a constrained optimisation problem with at least one element modelled as an ε-c...
This expository article discusses approaches for modeling optimization problems that involve uncerta...
In this study, we introduce a robust linear programming approach for water and environmental decisio...
The ever growing performances of mathematical programming solvers allows to be thinking of solving m...
This study focuses on solving multiobjective stochastic linear programming (MSLP) problems with part...
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
Abstract: Linear optimization problems are investigated whose parameters are uncertain. We apply coh...
Abstract We consider linear programming problems with uncertain constraint coefficients described by...
Proposes a decision making under uncertainty approach for treating linear programming under uncertai...
A frequently used approach to linear programming problems with only vaguely known coefficients of th...
A unique uncertainty model can not deal with an uncertain phenomenon that is changing and dynamic. F...
Linear programming (LP) is one of the great successes to emerge from operations research and managem...
This paper considers a constrained optimisation problem under uncertainty with at least one element ...
This paper deals with decision making in a real time optimization context under uncertain data by li...
Linear programming is a fundamental planning tool. It is often difficult to precisely estimate or fo...
This paper considers a constrained optimisation problem with at least one element modelled as an ε-c...
This expository article discusses approaches for modeling optimization problems that involve uncerta...
In this study, we introduce a robust linear programming approach for water and environmental decisio...
The ever growing performances of mathematical programming solvers allows to be thinking of solving m...
This study focuses on solving multiobjective stochastic linear programming (MSLP) problems with part...
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
Abstract: Linear optimization problems are investigated whose parameters are uncertain. We apply coh...
Abstract We consider linear programming problems with uncertain constraint coefficients described by...