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- W2037524279 abstract "This paper considers linear programming problems where each coefficient of the objective function is expressed by a random fuzzy variable. New decision making models are proposed based on stochastic and possibilistic programming in order to maximize both of possibility and probability with respect to the objective function value. It is shown that each of the proposed models is transformed into a deterministic equivalent one. Solution algorithms using convex programming techniques and/or the bisection method are provided for obtaining an optimal solution of each model." @default.
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- W2037524279 date "2008-10-01" @default.
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- W2037524279 title "A random fuzzy programming models based on possibilistic programming" @default.
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- W2037524279 doi "https://doi.org/10.1109/icsmc.2008.4811548" @default.
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