The authors focus on multiobjective linear programming problems with random variable coefficients in objective functions and/or constraints. For such multiobjective problems, after reformulation on the basis of a simple recourse model, incorporating fuzzy goals of the decision maker for the objective functions, we propose an interactive fuzzy satisficing method to derive a satisficing solution for the decision maker as a fusion of stochastic programming and fuzzy programming. An illustrative numerical example is provided to demonstrate the feasibility of the proposed method.
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