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A New Sparse Rule-Based Fuzzy Reasoning Method
Kitakyushu, Japan December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.9Fourth International Conference on Hy ...
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Baowen Wang, Xia Li, Wenyuan Liu, Yan Shi, "A New Sparse Rule-Based Fuzzy Reasoning Method," Hybrid Intelligent Systems, International Conference on, pp. 462-467, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICHIS.2004.9,
author = {Baowen Wang and Xia Li and Wenyuan Liu and Yan Shi},
title = {A New Sparse Rule-Based Fuzzy Reasoning Method},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2291-2},
pages = {462-467},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.9},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - A New Sparse Rule-Based Fuzzy Reasoning Method
SN - 0-7695-2291-2
SP462
EP467
A1 - Baowen Wang,
A1 - Xia Li,
A1 - Wenyuan Liu,
A1 - Yan Shi,
PY - 2004
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
Baowen Wang, Yanshan University, China
Xia Li, Shijiazhuang University of Economics, China
Wenyuan Liu, Yanshan University, China
Yan Shi, Kyushu Tokai University, Japan
This paper presents a new fuzzy interpolative reasoning method in the sparse fuzzy rule bases based on so-called similarity relations of fuzzy sets. By this reasoning method, an inference consequence can be simply obtained, and is a normal and convex fuzzy set without any limitation, which shows the potential ability of the proposed method in real-world fuzzy applications.
Citation:
Baowen Wang, Xia Li, Wenyuan Liu, Yan Shi, "A New Sparse Rule-Based Fuzzy Reasoning Method," his, pp.462-467, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004
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