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Generating Optimized Fuzzy Partitions to Classification and Considerations to Management Imprecise Data

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Computational Intelligence (IJCCI 2010)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 399))

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Abstract

Many algorithms for classification need to discretize the continuous attributes for their development. Therefore the discretization of continuous attributes is a very important part in data mining. In this paper, we propose a technique for discretizing continuous attributes by means of a series of fuzzy sets which constitute a fuzzy partition of the domain of these attributes. The definition of these sets is very important as it affects the results obtained in the classification algorithms. Throughout this document we present a strategy to construct fuzzy sets in order to improve classification results. Additionally, we give some ideas about how to improve this strategy in order to work with another kinds of data. Also, we show various experimental results which evaluate our proposal in comparison with previously existing ones and where the results have been statistically validated.

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Authors and Affiliations

  1. Faculty of Informatic, University of Murcia, Campus of Espinardo, 30100, Murcia, Spain

    J. M. Cadenas, M. C. Garrido & R. Martínez

Authors
  1. J. M. Cadenas
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  2. M. C. Garrido
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  3. R. Martínez
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Corresponding author

Correspondence to J. M. Cadenas .

Editor information

Editors and Affiliations

  1. , Images, Signals and Intelligence, University Paris-Est Creteil (UPEC), LISSI EA 3956, Paris, 77127, France

    Kurosh Madani

  2. , Departamento de Engenharia Informatica, University of Coimbra, Polo II - Pinhal de Marrocos, Coimbra, 3030, Portugal

    António Dourado Correia

  3. Systems and Robotics Institute, Evolutionary Systems and Biomedical, Instituto Superior Tecnico IST, Av. Rovisco Pais, Lisboa, 1049-001, Portugal

    Agostinho Rosa

  4. INSTICC, Polytechnic Institute of Setúbal, Setubal, 2910-595, Portugal

    Joaquim Filipe

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Cadenas, J.M., Garrido, M.C., Martínez, R. (2012). Generating Optimized Fuzzy Partitions to Classification and Considerations to Management Imprecise Data. In: Madani, K., Dourado Correia, A., Rosa, A., Filipe, J. (eds) Computational Intelligence. IJCCI 2010. Studies in Computational Intelligence, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27534-0_10

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  • DOI: https://doi.org/10.1007/978-3-642-27534-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27533-3

  • Online ISBN: 978-3-642-27534-0

  • eBook Packages: EngineeringEngineering (R0)

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