Generation of Takagi-Sugeno Fuzzy Systems with Minimum Rules in Modeling and Identification

被引：0
|
作者：
Wan, Feng [1 ]
Hu, Chenglin [1 ]
机构：
[1] Univ Macau, Fac Sci & Technol, Dept Elect & Elect Engn, Taipa, Peoples R China
来源：
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词：
Fuzzy modeling and identification; Takagi-Sugeno fuzzy systems; Rule reduction; SUFFICIENT CONDITIONS; COMPLEXITY REDUCTION; BASE; INTERPRETABILITY;
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：
An improvement is presented for the tunnel algorithm introduced in [17] for determining the minimum number of rules required by a fuzzy system for modeling and identification in the SISO case. The original tunnel algorithm can deal with only Mamdani type fuzzy systems, while the Testing Point algorithm proposed in this paper, can be used to construct Takagi-Sugeno type fuzzy systems with consequent parts of any order and has the potential to be further extended to the MISO case. Numerical examples are given to illustrate the idea and improvement.
引用
收藏
页码：1910 / 1917
页数：8
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