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Proceedings Paper

Analog VLSI signal fuzzifier
Author(s): Teresa Wong; Mohammed Ismail
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Paper Abstract

In this paper, an analog fuzzifier is designed and verified by SPICE simulation. Building blocks of winner-take-all circuits were developed to build the fuzzifier. The fuzzifier generates the membership functions of a fuzzy system by converting the input analog signals to their corresponding predetermined grade of memberships. It takes voltage-mode inputs and produces current-mode outputs for easy manipulations of the output fuzzy signals by the arithematic operations that follow. Furthermore, the fuzzifier is so flexible such that it can be readily adapted into most fuzzy systems, including neural networks, by changing the reference voltages and the number of building blocks used. The design of each building block is relatively simple as it only consists of four PMOS, four resistors and three current sources. The high speed of analog implementation also makes this fuzzifier more attractive than software implementations of the fuzzification process.

Paper Details

Date Published: 6 April 1995
PDF: 10 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205144
Show Author Affiliations
Teresa Wong, The Ohio State Univ. (United States)
Mohammed Ismail, The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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