A Flexible Approach to the Multidimensional Model: The Fuzzy Datacube

Delgado Calvo-Flores, Miguel; Molina, Carlos; Sánchez Fernández, Daniel; Rodríguez Ariza, Lazaro; Vila Miranda, María Amparo

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Identificadores

URI: https://hdl.handle.net/10481/77882

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Editorial

Springer

Materia

Inteligencia artificial

Artificial intelligence

Fecha

2004

Referencia bibliográfica

Published 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]

Resumen

As 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.

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