DocumentCode
2491571
Title
Fuzzy modeling method based on data mining
Author
Wang, Yongfu ; Zhao, Hong ; Liu, Jiren ; Chai, Tianyou
Author_Institution
Sch. of Mech. Eng. & Autom., Univ. of Northeastern, Shenyang
fYear
2008
fDate
25-27 June 2008
Firstpage
5223
Lastpage
5227
Abstract
Aiming at WM method lacking of completeness and robustness, which was presented by Lixin Wang, fuzzy system is set up by data mining in this paper. Rules base and fuzzy system produced by data mining can ergodic all the fuzzy subspace, which insures the completeness of rules base. Otherwise, rules produced by data mining are elected out in the whole sample data, but WM method is a result only from a certain datum. So, data mining has better robustness and simulation results show its validity.
Keywords
data mining; fuzzy systems; knowledge based systems; data mining; fuzzy modeling; fuzzy system; rule based system; Association rules; Automation; Data mining; Databases; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid power systems; Mathematical model; Robustness; Fuzzy logic system; completeness; data mining; fuzzy rules; modelling; robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593779
Filename
4593779
Link To Document