Fuzzy modeling method based on data mining

被引：0
|
作者：
Chen, XQ [1 ]
Wang, YF [1 ]
Huang, XL [1 ]
机构：
[1] Dalian Maritime Univ, Sch Econ & Management, Dalian 116026, Peoples R China
来源：
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词：
fuzzy logic system; fuzzy rules; completeness; robustness; data mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1924 / 1930
页数：7
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