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dc.creatorAranda Corral, Gonzalo A.es
dc.creatorBorrego Díaz, Joaquínes
dc.creatorGalán Páez, Juanes
dc.date.accessioned2021-03-25T10:59:05Z
dc.date.available2021-03-25T10:59:05Z
dc.date.issued2020
dc.identifier.citationAranda Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2020). A model of three-way decisions for Knowledge Harnessing. International Journal of Approximate Reasoning, 120 (May 2020), 184-202.
dc.identifier.issn0888-613Xes
dc.identifier.urihttps://hdl.handle.net/11441/106621
dc.description.abstractThe present work introduces the Knowledge Harnessing, by showing its theoretical founda-tions as well as a three-way decision model to deal with it. The problem poses how toextract valid information about a specific context from conflicting or uncertain informationreceived by a system (or agent). With this aim, forgetting variable operators are used toboth characterize the problem from the logical point of view and provide a theoretical so-lution as an acceptance-rejection problem. Since the formalization is semantic in nature (itconsiders the models of the knowledge base that admit the extracted knowledge), generalbounds are provided for acceptance-rejection evaluation on boundary region.es
dc.formatapplication/pdfes
dc.format.extent19es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofInternational Journal of Approximate Reasoning, 120 (May 2020), 184-202.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectThree-way decisionses
dc.subjectKnowledge-based systemses
dc.subjectVariable forgettinges
dc.subjectKnowledge Harnessinges
dc.titleA model of three-way decisions for Knowledge Harnessinges
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0888613X19304049es
dc.identifier.doi10.1016/j.ijar.2020.02.010es
dc.journaltitleInternational Journal of Approximate Reasoninges
dc.publication.volumen120es
dc.publication.issueMay 2020es
dc.publication.initialPage184es
dc.publication.endPage202es

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