%0 Report
%A Caballero Fernández, Rafael
%A Cerdá Tena, Emilio Jaime
%A Muñoz Martos, María del Mar
%A Rey, Lourdes
%T Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
%J Documentos de trabajo del Instituto Complutense de Análisis Económico (ICAE)
%D 2002
%U https://hdl.handle.net/20.500.14352/64507
%X In this work, we deal with obtaining efficient solutions for stochastic multiobjectiveprogramming problems. In general, these solutions are obtained in two stages: in one of them,the stochastic problem is transformed into its equivalent deterministic problem, and in the otherone, some of the existing generating techniques in multiobjective programming are applied toobtain efficient solutions, which involves transforming the multiobjective problem into aproblem with only one objective function. Our aim is to determine whether the order in whichthese two transformations are carried out influences, in any way, the efficient solution obtained.Our results show that depending on the type of stochastic criterion followed and the statisticalcharacteristics of the initial problem, the order can have an influence on the final set of efficientsolutions obtained for a given problem.
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