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Soft Computing in Fril

  • Conference paper
Fuzzy Logik

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

Fril is an ideal language for soft computing since it is an efficient general logic programming language with special structures to handle uncertainty and imprecision. Four types of rules are allowed in Fril: (1) Prolog style rule, (2) Probabilistic fuzzy rule, (3) Causal Relational rule, (4) Evidential Logic Rule. Both fuzzy and probabilistic uncertainties can be handled. Fril can be linked to Mathematica allowing mathematical artificial intelligence problems with vagueness and uncertainty to be conveniently easily solved in a user friendly design environment.

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References

  • Baldwin J. F., 1994, “Evidential Logic Rules from Examples”, Proc. EUFIT 94

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Author information

Authors and Affiliations

  1. Department of Engineering Mathematics & Advanced Computer Research Centre, University of Bristol, UK

    Professor J. F. Baldwin (SERC Senior Research Fellow)

Authors
  1. Professor J. F. Baldwin
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Editor information

Editors and Affiliations

  1. Fachbereich Informatik, Lehrstuhl Informatik I, Universität Dortmund, Otto-Hahn-Straße 16, D-44227, Mortmund, Deutschland

    Bernd Reusch

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© 1994 Springer-Verlag Berlin Heidelberg

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Baldwin, J.F. (1994). Soft Computing in Fril. In: Reusch, B. (eds) Fuzzy Logik. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79386-8_28

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  • DOI: https://doi.org/10.1007/978-3-642-79386-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58649-4

  • Online ISBN: 978-3-642-79386-8

  • eBook Packages: Springer Book Archive

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