DocumentCode
466986
Title
Obtaining Fuzzy Control Query Table by Data Mining
Author
Jun, Gao
Author_Institution
Shanghai Inst. of Technol., Shanghai
Volume
2
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
374
Lastpage
378
Abstract
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.
Keywords
Boolean functions; control engineering computing; data mining; fuzzy control; Boolean association rule data mining techniques; fuzzy control query table; manual operating records; Analog-digital conversion; Association rules; Buildings; Control system analysis; Control systems; Data mining; Databases; Fuzzy control; Manuals; Measurement units; association rule data mining; fuzzy control query; fuzzy control system; table;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.323
Filename
4287711
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