Fuzzy methods in machine learning and data mining: Status and prospects

  • Authors:
  • Eyke Hüllermeier

  • Affiliations:
  • University of Magdeburg, Faculty of Computer Science Universitätsplatz 2, 39106 Magdeburg, Germany

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2005

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Abstract

Over the past years, methods for the automated induction of models and the extraction of interesting patterns from empirical data have attracted considerable attention in the fuzzy set community. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. The paper concludes with a critical consideration of recent developments and some suggestions for future research directions.