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Fuzzy Multidimensional Databases

  • Chapter
Uncertainty Approaches for Spatial Data Modeling and Processing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 271))

Abstract

The interest for OLAP (standing for On-Line Analytical Processing), working on multidimensional databases is growing dramatically due to its interest in data analysis and data mining. Recent works (LBMD+00),(LGM00) showed the great interest of integrating fuzzy set theory in such technologies in the framework of data mining. We now propose to enhance the multidimensional data model to handle fuzziness. This model then provides the way to apply OLAP Mining methods on Fuzzy Multidimensional Databases, for Fuzzy-OLAP Mining.

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Author information

Authors and Affiliations

  1. LIRMM, Univ. Montpellier 2 - CNRS UMR 5506, 161 rue Ada, Montpellier

    Anne Laurent

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  1. Anne Laurent
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Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Ul.Newelska 6, 01-447, Warszawa, Poland

    Janusz Kacprzyk

  2. Computer Scientist, Section 7440.5, Naval Research Laboratory, Stennis Space Center, 39529, MS, USA

    Frederick E. Petry

  3. Multimedia Database Laboratory, Department of Computer Engineering, Middle East Technical University, 06531, Ankara, Turkey

    Adnan Yazici

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Laurent, A. (2010). Fuzzy Multidimensional Databases. In: Kacprzyk, J., Petry, F.E., Yazici, A. (eds) Uncertainty Approaches for Spatial Data Modeling and Processing. Studies in Computational Intelligence, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10663-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-10663-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10662-0

  • Online ISBN: 978-3-642-10663-7

  • eBook Packages: EngineeringEngineering (R0)

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