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Fuzzy Logic as interfacing technique in hybrid AI-systems

  • Hybrid and Novel Architectures
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Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems (FLAI 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1188))

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Abstract

Hybrid systems composed of AI approaches have shown quite remarkable results in diagnosis. Designing of such multi-method sytems generally bears some difficulties in finding a uniform representation of inputs and outputs of their subsystems. Since Fuzzy Logic, too, has proven high importance in Artificial Intelligence, due to its adequate pseudoverbal representation of knowledge, it is well suited to serve as an interface. The paper illustrates how Fuzzy Logic can be combined with other AI tools to form effective hybrid systems. Three system examples will be given, all designed with fuzzy interfacing. To demonstrate the processing of real-world data, the diagnosis of EEGs will serve as example for our method.

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Author information

Author notes

  1. Christoph S. Herrmann

    Present address: Clinic for Neurology, University of Mainz, 55101, Reisingerweg, Mainz, Germany

Authors and Affiliations

  1. FG Intellektik, TH Darmstadt, Alexanderstr. 10, 64283, Darmstadt, Germany

    Christoph S. Herrmann

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  1. Christoph S. Herrmann
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Correspondence to Christoph S. Herrmann .

Editor information

Trevor P. Martin Anca L. Ralescu

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© 1997 Springer-Verlag Berlin Heidelberg

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Herrmann, C.S. (1997). Fuzzy Logic as interfacing technique in hybrid AI-systems. In: Martin, T.P., Ralescu, A.L. (eds) Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems. FLAI 1995. Lecture Notes in Computer Science, vol 1188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62474-0_6

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  • DOI: https://doi.org/10.1007/3-540-62474-0_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62474-5

  • Online ISBN: 978-3-540-49732-5

  • eBook Packages: Springer Book Archive

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