A possibilistic decision support system for imprecise mathematical programming problems

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dc.catalogadorjlo
dc.contributor.authorJensen, Héctor A.
dc.contributor.authorMaturana Valderrama, Sergio
dc.date.accessioned2024-05-31T13:16:05Z
dc.date.available2024-05-31T13:16:05Z
dc.date.issued2002
dc.description.abstractAn approach for decision support under uncertainty based on a nondeterministic possibilistic approach is considered. Problem uncertainties are defined by fuzzy numbers and characterized by membership functions. A method for the efficient numerical implementation of the proposed decision support system is presented. The method is basically an algebraic process which can be implemented for general decision making problems. A set of representative samples of the solution behavior can be obtained directly from the formulation. At the same time, information about the global effect of the problem uncertainties on the optimal solution can be evaluated immediately from the analysis. The effectiveness of the method is illustrated by the solution of a programming model that represents the logistics management of the sulfuric acid business in Chile. Numerical results show the usefulness and potential of the proposed possibilistic approach.
dc.fuente.origenORCID
dc.identifier.doi10.1016/S0925-5273(02)00109-3
dc.identifier.issn0925-5273
dc.identifier.urihttps://doi.org/10.1016/S0925-5273(02)00109-3
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86137
dc.information.autorucEscuela de Ingeniería; Maturana Valderrama, Sergio; 0000-0002-9998-7225; 61254
dc.language.isoen
dc.nota.accesocontenido parcial
dc.rightsacceso restringido
dc.subjectDecision support systems
dc.subjectPossibilistic approach
dc.subject.ddc510
dc.subject.deweyMatemática física y químicaes_ES
dc.titleA possibilistic decision support system for imprecise mathematical programming problems
dc.typeartículo
sipa.codpersvinculados61254
sipa.trazabilidadORCID;2024-05-27
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