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A Flexible Approach to the Multidimensional Model: The Fuzzy Datacube

dc.contributor.authorDelgado Calvo-Flores, Miguel 
dc.contributor.authorMolina, Carlos
dc.contributor.authorSánchez Fernández, Daniel 
dc.contributor.authorRodríguez Ariza, Lazaro 
dc.contributor.authorVila Miranda, María Amparo 
dc.date.accessioned2022-11-10T10:09:28Z
dc.date.available2022-11-10T10:09:28Z
dc.date.issued2004
dc.identifier.citationPublished version: Delgado, M... [et al.] (2004). A Flexible Approach to the Multidimensional Model: The Fuzzy Datacube. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. [https://doi.org/10.1007/978-3-540-25945-9_3]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/77882
dc.description.abstractAs a result of the use of OLAP technology in new fields of knowledge and the merge of data from different sources, it has become necessary for models to support this technology. In this paper, we propose a new multidimensional model that can manage imprecision both in dimensions and facts. Consequently, the multidimensional structure is able to model data imprecision resulting from the integration of data from different sources or even information from experts, which it does by means of fuzzy logic.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectInteligencia artificial es_ES
dc.subjectArtificial intelligence es_ES
dc.titleA Flexible Approach to the Multidimensional Model: The Fuzzy Datacubees_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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