High-Speed Fuzzy Inference Processor Using Active Rules Identification

DOI

10.2991/jcis.2006.279How to use a DOI?

Keywords

Fuzzy Inference, Fuzzy Rules, Fuzzy Processor, Hardware Design

Abstract

Once the input values are given, the active rules in a fuzzy inference execution have been determined. Based on the observation, our approach is to identify the active rules before fuzzy inference execution. To achieve this goal, our architecture provides the following two mechanisms: (1) a mechanism to ignore the non-active rules before fuzzy inference execution; and (2) a mechanism to arrange the active rules for fuzzy inference execution. The proposed architecture has been implemented using a 0.35μm cell library. Implementation data show that, if the number of active rules is only 4, the inference speed can achieve 23.755 MFLIPS. To the best of our knowledge, our approach is the fastest hardware implementation.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shih-Hsu Huang
AU  - Shi-Zhi Liu
AU  - Yi-Rung Chen
AU  - Jian-Yuan Lai
PY  - 2006/10
DA  - 2006/10
TI  - High-Speed Fuzzy Inference Processor Using Active Rules Identification
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.279
DO  - 10.2991/jcis.2006.279
ID  - Huang2006/10
ER  -