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

  • Florentino Fernández-Riverola
  • Juan M. Corchado
Conference paper

DOI: 10.1007/978-3-540-25945-9_30

Volume 3040 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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. Lecture Notes in Computer Science, vol 3040. Springer, Berlin, Heidelberg

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Florentino Fernández-Riverola
    • 1
  • Juan M. Corchado
    • 2
  1. 1.Dept. Informática.University of VigoOurenseSpain
  2. 2.Dept. de Informática y AutomáticaUniversity of SalamancaSalamancaSpain