9th Joint International Conference on Information Sciences (JCIS-06)

High-Speed Fuzzy Inference Processor Using Active Rules Identification

Authors
Shih-Hsu Huang 0, Shi-Zhi Liu, Yi-Rung Chen, Jian-Yuan Lai
Corresponding Author
Shih-Hsu Huang
0Chung Yuan Christian University
Available Online October 2006.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.279How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.279
DO  - https://doi.org/10.2991/jcis.2006.279
ID  - Huang2006/10
ER  -