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Interactive multiobjective fuzzy random linear programming: Maximization of possibility and probability
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DOI：10.1016/j.ejor.2007.02.050.png)
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Abstract
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This paper considers multiobjective linear programming problems with fuzzy random variables coefficients. A new decision making model is proposed to maximize both possibility and probability, which is based on possibilistic programming and stochastic programming. An interactive algorithm is constructed to obtain a satisficing solution satisfying at least weak Pareto optimality. (c) 2007 Elsevier B.V. All rights reserved.
Keywords:
fuzzy random variable
multiobjective linear programming
probability maximization model
stochastic programming
possibilistic programming
interactive algorithm
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