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dc.contributor.authorLlamazares Rodríguez, Bonifacio 
dc.date.accessioned2019-09-14T08:59:33Z
dc.date.available2019-09-14T08:59:33Z
dc.date.issued2019
dc.identifier.citationComputers & Industrial Engineering, 2019, vol. 136, p. 345-354.es
dc.identifier.issn0360-8352es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/37938
dc.description.abstractThe choice of weights vectors in multiple attribute decision making (MADM) problems has generated an important literature, and a large number of methods have been proposed for this task. In some situations the decision maker (DM) may not be willing or able to provide exact values of the weights, but this difficulty can be avoided by allowing the DM to give some variability in the weights. In this paper we propose a model where the weights are not fixed, but can take any value from certain intervals, so the score of each alternative is the maximum value that the weighted mean can reach when the weights belong to those intervals. We provide a closed-form expression for the scores achieved by the alternatives so that they can be ranked them without solving the proposed model, and apply this new method to an MADM problem taken from the literature.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.classificationMADM problemses
dc.subject.classificationvariable weightses
dc.subject.classificationinterval weightses
dc.subject.classificationSAW methodes
dc.titleUsing interval weights in MADM problemses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.cie.2019.07.035es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0360835219304267?via%3Dihubes
dc.identifier.publicationfirstpage345es
dc.identifier.publicationlastpage354es
dc.identifier.publicationtitleComputers & Industrial Engineeringes
dc.identifier.publicationvolume136es
dc.peerreviewedSIes
dc.description.projectEste trabajo forma parte del proyecto de investigación: MEC-FEDER Grant ECO2016-77900-P.es
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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