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Neuro-Fuzzy Classification

  • Detlef Nauck
  • Andreas Nürnberger
  • Rudolf Kruse
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Neuro-fuzzy classification systems offer means to obtain fuzzy classification rules by a learning algorithm. It is usually possible to find a suitable fuzzy classifier by learning from data, but it can be hard to obtain a classifier that can be interpreted conveniently. However, the main reason for using fuzzy methods for classification is usually to obtain an interpretable classifier. In this paper we discuss the learning algorithms of NEFCLASS, a neuro-fuzzy approach for data analysis.

Keywords

fuzzy classification neuro-fuzzy system 

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1998

Authors and Affiliations

  • Detlef Nauck
    • 1
  • Andreas Nürnberger
    • 1
  • Rudolf Kruse
    • 1
  1. 1.Faculty of Computer ScienceUniversity of MagdeburgMagdeburgGermany

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