Fuzzy Logic as interfacing technique in hybrid AI-systems

Hybrid and Novel Architectures
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1188)


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.


Fuzzy Logic Hybrid Systems Interfacing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  1. 1.FG IntellektikTH DarmstadtDarmstadtGermany

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