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Fuzzy Induction via Generalized Annotated Programs

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Computational Intelligence, Theory and Applications

Part of the book series: Advances in Soft Computing ((AINSC,volume 33))

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Abstract

The aim of this paper is to describe the method of induction of generalized annotated programs called IGAP what is a special case of inductive fuzzy logic programming for monotonely classified data. This method is based on the multiple use of two valued ILP and the syntactical equivalence of fuzzy logic programs and a restricted class of generalized annotated programs. Finally we compare our method with several fuzzy ILP methods.

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Author information

Authors and Affiliations

  1. Faculty of Science, University of Pavol Jozef Šafárik Institute of Computer Science, Jesenná 5, 040 01, Košice, Slovakia

    Tomáš Horváth & Peter Vojtáš

Authors
  1. Tomáš Horváth
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  2. Peter Vojtáš
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Editor information

Editors and Affiliations

  1. Department of Computer Science 1, University of Dortmund, FB 8 Ektrotechnik FB Informatik LS Informatik I, Postfach 50 05 00, 44221, Dortmund, Germany

    Bernd Reusch

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© 2005 Springer-Verlag Berlin Heidelberg

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Horváth, T., Vojtáš, P. (2005). Fuzzy Induction via Generalized Annotated Programs. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_39

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  • DOI: https://doi.org/10.1007/3-540-31182-3_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22807-3

  • Online ISBN: 978-3-540-31182-9

  • eBook Packages: EngineeringEngineering (R0)

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