Title :
Obtaining Fuzzy Control Query Table by Data Mining
Author_Institution :
Shanghai Inst. of Technol., Shanghai
fDate :
July 30 2007-Aug. 1 2007
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;
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
DOI :
10.1109/SNPD.2007.323
