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Fuzzy Classifiers – Opportunities and Challenges –

  • Conference paper
Scalable Uncertainty Management (SUM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6929))

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Abstract

Several issues arise when we consider building classifiers in general, and fuzzy classifiers in particular. These issues include but are not limited to attribute/feature selection, adoption of a specific approach/algorithm, evaluate the classifier performance, etc. We consider the opportunities that such classifiers have to offer and contrast them with the challenges they pose.

The authors dedicate this paper to Professor Lotfi A. Zadeh on the occasion of his 90th birthday.

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Author information

Authors and Affiliations

  1. Machine Learning and Computational Intelligence Laboratory, School of Computing Sciences and Informatics, University of Cincinnati, Cincinnati, OH, 45221-0030, USA

    Anca Ralescu & Sofia Visa

  2. Department of Computer Science, The College of Wooster, Wooster, OH, 44691, USA

    Anca Ralescu & Sofia Visa

Authors
  1. Anca Ralescu
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  2. Sofia Visa
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Editor information

Editors and Affiliations

  1. CRIL-CNRS, University of Artois, 62307, France

    Salem Benferhat

  2. Department of Mathematics, Towson University, 21252, Towson, MD, USA

    John Grant

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Ralescu, A., Visa, S. (2011). Fuzzy Classifiers – Opportunities and Challenges –. In: Benferhat, S., Grant, J. (eds) Scalable Uncertainty Management. SUM 2011. Lecture Notes in Computer Science(), vol 6929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23963-2_7

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  • DOI: https://doi.org/10.1007/978-3-642-23963-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23962-5

  • Online ISBN: 978-3-642-23963-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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