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An interactive fuzzy satisficing method for multiobjective stochastic linear programming problems through an expectation model
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DOI：10.1016/S0377-2217(02)00150-9.png)
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Abstract
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For decision making problems involving uncertainty, both stochastic programming as an optimization method based on the theory of probability and fuzzy programming representing the ambiguity by fuzzy concept have been developing in various,ways. In this paper, we focus on multiobjective linear programming problems with random variable coefficients in objective functions and/or constraints. For such problems, as a fusion of these two approaches, after incorporating fuzzy goals of the decision maker for the objective functions, we propose an interactive fuzzy satisficing method for the expectation model to derive a satisficing solution for the decision maker. An illustrative numerical example is provided to demonstrate the feasibility of the proposed method. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
multicriteria analysis
linear programming
stochastic programming
fuzzy programming
interactive programming
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