Template-type: ReDIF-Paper 1.0
Author-Name: Rafael Caballero
Author-Workplace-Name: Department of Applied Economics (Mathematics), University of Málaga, Spain.
Author-Name: Emilio Cerdá
Author-Person: pce46
Author-Workplace-Name: Departamento de Análisis Económico y Economía Cuantitativa. Universidad Complutense 
	de Madrid.
Author-Workplace-Homepage: https://www.ucm.es/fundamentos-analisis-economico2
Author-Name: Mª del Mar Muñoz
Author-Workplace-Name:	Department of Applied Economics (Mathematics), University of Málaga, Spain.
Author-Name:  Lourdes Rey
Author-Workplace-Name: Department of Applied Economics (Mathematics), University of Málaga, Spain. 
Title: Stochastic Approach versus Multiobjective Approach for Obtaining Efficient Solutions in Stochastic 
	Multiobjective Programming Problems 
Abstract: In this work, we deal with obtaining efficient solutions for stochastic multiobjective programming 
	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 other one, some of the existing 
	generating techniques in multiobjective programming are applied to obtain efficient solutions, which 
	involves transforming the multiobjective problem into a problem with only one objective function. 
	Our aim is to determine whether the order in which these 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 statistical 
	characteristics of the initial problem, the order can have an influence on the final set of efficient 
	solutions obtained for a given problem.
Keywords: Stochastic Multiobjective Programming, Efficiency, Stochastic Approach, Multiobjective Approach.
Length: pages 30
Creation-Date:2002 
X-File-Ref: http://america.sim.ucm.es/repec/ucm/ref/doicae0217.txt
File-URL: https://eprints.ucm.es/id/eprint/7674/1/0217.pdf
File-Format: Application/pdf
Handle: RePEc:ucm:doicae:0217