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This paper considers multiobjective linear programming problems (MOLPP) where random fuzzy variables are contained in objective functions and constraints. A new decision making model optimizing possibilistic value at risk (pVaR) is proposed by incorporating the concept of value at risk (VaR) into possibility theory. It is shown that the original MOLPPs involving random fuzzy variables are transformed...
This article considers multiobjective linear programming problems (MOLPP) where random fuzzy variables are contained in objective functions and constraints. The purpose of the proposed decision making model is to optimize values at risk under the constraints using a necessity measure. An interacitve algorithm is constructed in order to obtain a satisficing solution for the decision maker from among...
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