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Optimal Decision Making via Binary Decision Diagrams for Investments under a Risky Environment

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dc.contributor.author Pliego Marugán, Alberto
dc.date.accessioned 2017-12-15T12:35:02Z
dc.date.available 2017-12-15T12:35:02Z
dc.date.issued 2017-05-01
dc.identifier.citation International Journal of production Research es_ES
dc.identifier.issn 0020-7543
dc.identifier.uri http://hdl.handle.net/10578/16075
dc.description.abstract This paper presents two methods for supporting investments and resource allocation in a constrained risky environment. These methods are based on the application of logical decision trees and binary decision diagrams as an approach that allows quantitative analysis of a qualitative study. The scenario considered in this paper is a decision making process under risk environment, where stochastic variables are considered. The two novel procedures are introduced to facilitate the resource allocation as the objective of the decision making process. The first procedure uses the analytic expression provided by binary decision diagrams as an objective function of a non-linear programming model. The second procedure introduces an importance measure that takes into account some external constraints, unlike the classical importance measures that only consider the topology of the tree. The first technique will optimize the outcomes and the second will provide a good approximation of the outcomes using simpler calculations. es_ES
dc.format application/pdf es_ES
dc.language.iso en es_ES
dc.rights info:eu-repo/semantics/openAccess es_ES
dc.subject Optimal Decision Making es_ES
dc.subject Decision Diagrams es_ES
dc.title Optimal Decision Making via Binary Decision Diagrams for Investments under a Risky Environment es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.relation.projectID DPI215-67264P es_ES
dc.relation.projectID RTC-2016-5694-3 es_ES
dc.identifier.DOI 10.1080/00207543.2017.1308570

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