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Employing TSK Fuzzy Models to Automate the Revision Stage of a CBR System

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Book cover Current Topics in Artificial Intelligence (TTIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3040))

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Abstract

CBR systems are normally used to assist experts in the resolution of problems. During the last few years, researchers have been working in the development of techniques to automate the reasoning stages identified in this methodology. This paper presents a fuzzy logic based method that automates the review stage of case-based reasoning systems and aids in the process of obtaining an accurate solution. The proposed methodology has been derived as an extension of the Sugeno Fuzzy model, and evaluates different solutions by reviewing their score in an unsupervised mode. The method has been successfully used to completely automate the reasoning process of a biological forecasting system and to improve its performance.

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Author information

Authors and Affiliations

  1. Dept. Informática., University of Vigo, Campus As Lagoas s/n, 32004, Ourense, Spain

    Florentino Fernández-Riverola

  2. Dept. de Informática y Automática, University of Salamanca, Plaza de la Merced s/n, 37008, Salamanca, Spain

    Juan M. Corchado

Authors
  1. Florentino Fernández-Riverola
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  2. Juan M. Corchado
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Editor information

Editors and Affiliations

  1. Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga,  

    Ricardo Conejo

  2. Facultad de Informática, Dept. Lenguajes y Sistemas Informáticos Codigo, EPV/EHU, Postal 649, 20080, San Sebastian, Spain

    Maite Urretavizcaya

  3. Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Campus de Teatinos s/n, 29079, Málaga, SPAIN

    José-Luis Pérez-de-la-Cruz

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© 2004 Springer-Verlag Berlin Heidelberg

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Fernández-Riverola, F., Corchado, J.M. (2004). Employing TSK Fuzzy Models to Automate the Revision Stage of a CBR System. 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_30

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  • DOI: https://doi.org/10.1007/978-3-540-25945-9_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22218-7

  • Online ISBN: 978-3-540-25945-9

  • eBook Packages: Springer Book Archive

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