F-CUBE FACTORY: A FUZZY OLAP SYSTEM FOR SUPPORTING IMPRECISION-Reference-Cited by-同舟云学术

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

Published:2007-02 Issue:supp01 Volume:15 Page:59-81
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

DELGADO MIGUEL¹,MOLINA CARLOS²,RODRÍGUEZ-ARIZA LÁZARO³,SÁNCHEZ DANIEL⁴,VILA M. AMPARO⁴

Affiliation:

1. Dpt. Computer Science and Artificial Intelligent, University of Granada, c/Periodista Daniel Saucedo Aranda, Granada, 18071, Spain

2. Dept. Computer Science, University of Jaen, Campus Las Lagunillas, Jaen, 23071, Spain

3. Dept. Financial Economy and Accounting, University of Granada, Granada, 18071, Spain

4. Dept. Computer Science and Artificial Intelligent, University of Granada, c/Periodista Daniel Saucedo, Aranda, Granada, 18071, Spain

Abstract

The special needs of the OLAP technology were the main cause of the use of a multidimensional view of the data. Crisp models are not suitable to model complex or non well defined domains. They also fail to integrate data from semi/non-structured sources (e.g. Internet) or with incompatibilities in their schemata. In these situations, as a result of the modelling and/or integration, imprecision appears. So, we need a model able to manage imprecision in the structures and data. 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 the hierarchies and the OLAP system that implements this model.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488507004467

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