Rule-Driven VLSI Fuzzy Processor

In this article the authors propose the design of an architecture for a general-purpose fuzzy processor whose main features are: pre-processing of inferences to reduce the number of rules to be processed and increase the processing speed; pipeling of the various inference execution stage; parallel computation of the degree of activation of the antecedents of a single rule; mixed technology design, as the Kernel of the processor is entirely made up of fuzzy-gates based on a discrete-analog approach.

[1]  Takeshi Yamakawa,et al.  Silicon Implementation for a Novel High-Speed Fuzzy Inference Engine: Mega-Flips Analog Fuzzy Processor , 1993, J. Intell. Fuzzy Syst..

[2]  Domenico Lo Presti,et al.  Silicon Drift Detector Readout and On-Line Data Reduction using a Fast VLSI Dedicated Fuzzy Processor , 1996, Inf. Sci..

[3]  Francesco Beritelli,et al.  Robust phase reversal tone detection using soft computing , 1995, Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society.

[4]  Vincenzo Catania,et al.  Design of a VLSI parallel processor for fuzzy computing , 1995, Proceedings of the 8th International Conference on VLSI Design.

[5]  M. Russo,et al.  Analog gates for a VLSI fuzzy processor , 1995, Proceedings of the 8th International Conference on VLSI Design.

[6]  Sergei Ovchinnikov,et al.  Fuzzy sets and applications , 1987 .

[7]  Antonio Puliafito,et al.  A VLSI fuzzy inference processor based on a discrete analog approach , 1994, IEEE Trans. Fuzzy Syst..

[8]  Kazuo Nakamura,et al.  Fuzzy inference and fuzzy inference processor , 1993, IEEE Micro.

[9]  Christian Heite,et al.  Analog CMOS realization of fuzzy logic membership functions , 1993 .

[10]  Vincenzo Catania,et al.  A VLSI Parallel Architecture for Fuzzy Expert Systems , 1995, Int. J. Pattern Recognit. Artif. Intell..