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Configurable DSS for uncertainty management by fuzzy sets

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Configurable DSS for uncertainty management by fuzzy sets

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dc.contributor.author Alemany Díaz, María del Mar es_ES
dc.contributor.author Boza, Andres es_ES
dc.contributor.author Ortiz Bas, Ángel es_ES
dc.contributor.author Vicente S. Fuertes-Miquel es_ES
dc.date.accessioned 2017-09-28T08:59:21Z
dc.date.available 2017-09-28T08:59:21Z
dc.date.issued 2016
dc.identifier.issn 1877-0509
dc.identifier.uri http://hdl.handle.net/10251/88136
dc.description.abstract [EN] In this paper, we propose a Configurable Model Based DSS capable of dealing with generic problems being modeled by Linear Programming (LP) and by Fuzzy Sets (FS) in a deterministic and uncertain context, respectively. The DSS assumes the transformation of the original model with fuzzy coefficients into an equivalent crisp model where the fuzzy coefficients are represented as alpha-parametric values, which can vary in a predefined interval based on the alpha parameter. Through the DSS, solutions obtained by solving the deterministic model and the equivalent crisp model for different alpha-values are compared based on the objectives and performance parameters defined by the Decision Maker (DM). Due to the uncertainty in data, expected performance of solutions can change under real situations. The DSS allows simulating future real situations by generating different projections of uncertain parameters. New performance of previously generated solutions can be tested under these hypothetical real situations by means a third model (Model for the Real Performance Assessment). Finally, the DM can choose the solution to be implemented taking into account the performance of solutions under planned and real uncertainty. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Procedia Computer Science es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Decision Support System es_ES
dc.subject Linear Programming es_ES
dc.subject Fuzzy Sets es_ES
dc.subject Uncertainty es_ES
dc.subject Configurable es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.subject.classification MECANICA DE FLUIDOS es_ES
dc.title Configurable DSS for uncertainty management by fuzzy sets es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.procs.2016.04.217
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Alemany Díaz, MDM.; Boza, A.; Ortiz Bas, Á.; Vicente S. Fuertes-Miquel (2016). Configurable DSS for uncertainty management by fuzzy sets. Procedia Computer Science. 83:1019-1024. doi:10.1016/j.procs.2016.04.217 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.procs.2016.04.217 es_ES
dc.description.upvformatpinicio 1019 es_ES
dc.description.upvformatpfin 1024 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 83 es_ES
dc.relation.senia 332764 es_ES


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