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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Obtaining Fuzzy Control Query Table by Data Mining
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Gao Jun, "Obtaining Fuzzy Control Query Table by Data Mining," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 2, pp. 374-378, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.323,
author = {Gao Jun},
title = {Obtaining Fuzzy Control Query Table by Data Mining},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {2},
year = {2007},
isbn = {0-7695-2909-7},
pages = {374-378},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.323},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Obtaining Fuzzy Control Query Table by Data Mining
SN - 0-7695-2909-7
SP374
EP378
A1 - Gao Jun,
PY - 2007
KW - fuzzy control system; fuzzy control query table; association rule data mining
VL - 2
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Gao Jun, Shanghai Institute of Technology, China
The key to a good fuzzy control system is its fuzzy control query table, and the system's performance mainly depends on the quality of the table. Based on analyzing fully the principles of a typical fuzzy control systems and the procedures of building a fuzzy control table, this paper presents a new method of applying the boolean association rule data mining techniques to mining of fuzzy control query table directly from the database of manual operating records.
Index Terms:
fuzzy control system; fuzzy control query table; association rule data mining
Citation:
Gao Jun, "Obtaining Fuzzy Control Query Table by Data Mining," snpd, vol. 2, pp.374-378, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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