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F-CUBE FACTORY: A FUZZY OLAP SYSTEM FOR SUPPORTING IMPRECISION

By Miguel Delgado, Carlos Molina, Lázaro Rodríguez-ariza, Daniel Sánchez and M. Amparo Vila

Abstract

The special needs of the OLAP technology was the main cause of the use of a multidimensional view of the data. To model complex or nor well defined domains or to integrate data from semi/non-structured sources (e.g. Internet) or with incompatibilities in their schemata is complicated using crisp multidimensional models. In these situations we need a model able to manage imprecision in the structures and data as a result of the modelling and/or integration. If we want to use expert’s knowledge in the analysis, we have to keep in mind that expert users are more comfortable when they use linguistic expressions instead of exact values. In this paper we present an extension of a fuzzy multidimensional model to support the use of linguistic labels in the definition of th

Topics: Multidimensional Model, Imprecision, Linguistic label, OLAP
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.190.7986
Provided by: CiteSeerX
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