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Designing for parallel fuzzy computing

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5 Author(s)
Ascia, G. ; Istituto di Inf. e Telecommun., Catania Univ., Italy ; Catania, V. ; Giacalone, B. ; Russo, M.
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As the number of fuzzy logic applications increases, demand for faster architectures will grow. Our design for a VLSI fuzzy processor uses fuzzy inference techniques that optimize processing time. Preprocessing that reduces the number of rules to be processed, parallel computation of active rule degrees of activation, and scalability are major features of this architecture. The journal issue contains a concise summary of this article. The complete article is linked to Micro's home page on the World Wide Web (

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Micro, IEEE  (Volume:15 ,  Issue: 6 )