Abstract
In this paper, the resolution of stochastic multiple objective programming problems is studied. The existence of random parameters in the objective functions has resulted in the definition of several efficient solution concepts for such problems in the literature. We will focus our attention in the study of some of these concepts, namely, minimum risk and ß probability. Once these concepts are defined, the relations among the sets of efficient solutions obtained are studied.
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© 2000 Springer-Verlag Berlin Heidelberg
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Caballero, R., Cerdá, E., Muñoz, M.M., Rey, L. (2000). Relations among Several Efficiency Concepts in Stochastic Multiple Objective Programming. In: Haimes, Y.Y., Steuer, R.E. (eds) Research and Practice in Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 487. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57311-8_4
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DOI: https://doi.org/10.1007/978-3-642-57311-8_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67266-1
Online ISBN: 978-3-642-57311-8
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