A VLSI fuzzy inference processor based on a discrete analogapproach

  • Authors:
  • V. Catania;A. Puliafito;M. Russo;L. Vita

  • Affiliations:
  • Istituto di Inf. e Telecommun., Catania Univ.;-;-;-

  • Venue:
  • IEEE Transactions on Fuzzy Systems
  • Year:
  • 1994

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we present a design for a general-purpose fuzzy processor, the core of which is based on an analog-numerical approach combining the inherent advantages of analog and digital implementations, above all as regards noise margins. The architectural model proposed was chosen in such a way as to obtain a processor capable of working with a considerable degree of parallelism. The internal structure of the processor is organized as a cascade of pipeline stages which perform parallel execution of the processes into which each inference can be decomposed. A particular feature of the project is the definition of a `fuzzy-gate', which executes elementary fuzzy computations, on which construction of the whole core of the processor is based. Designed using CMOS technology, the core can be integrated into a single chip and can easily be extended. The performance obtainable, in the order of 50 Mega fuzzy rules per second, is of a considerable level