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Hardware implementation of fuzzy systems

: Knobloch, J.


Bezdek, J.; O'Higgins, L. ; North American Fuzzy Information Processing Society -NAFIPS-; Univ. of West Florida, Pensacola/Fla.; IEEE Systems, Man, and Cybernetics Society; IEEE Neural Network Council:
North American Fuzzy Information Processing Society. Biennial Conference 1998l
Piscataway, NJ: IEEE, 1998
ISBN: 0-7803-4453-7
North American Fuzzy Information Processing Society (Biennial Conference) <1998, Pensacola Beach/Fla.>
Fraunhofer IMS, Außenstelle Dresden ( IPMS) ()
Fuzzy-Hardware; Fuzzy-Klassifikation; Fuzzy-Regler; intelligenter Sensor; Mikrosystemtechnik

Fuzzy systems will be implemented mostly as software solutions. But in special cases a hardware implementation is meaningful or even necessary. There are such special applications in the area of "Intelligent Sensors" and "Controllers for microsystems", where speed, compactness, reliability and costs are important development objectives. This paper describes three fuzzy chips. By these examples the reasons and needs for a fuzzy hardware solution will be shown. Based on the realized chips some design specialities as well as characteristics and special features for the users are provided.