Title :
Fuzzy modeling method based on data mining
Author :
Chen, Xiu-Quan ; Wang, Yong-Fu ; Huang, Xiao-Ling
Author_Institution :
Sch. of economy & Manage., Dalian Maritime Univ., China
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 logic; fuzzy set theory; fuzzy systems; data mining; fuzzy logic system; fuzzy modeling; fuzzy subspace; rule base completeness; rule based system; Association rules; Clustering algorithms; Data mining; Databases; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid power systems; Mathematical model; Robustness; Fuzzy logic system; completeness; data mining; fuzzy rules; robustness;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527260
