New Type of Takagi-Sugeno Fuzzy Inference System as Universal Approximator

被引：9
|
作者：
Anikin, Igor
Zinoviev, Igor
机构：
来源：
ADVANCED MATERIALS, MECHANICS AND INDUSTRIAL ENGINEERING | 2014年 / 598卷
关键词：
fuzzy logic; fuzzy regression; Takagi-Sugeno fuzzy inference system; KNOWLEDGE DISCOVERY; LOGIC; SETS;
D O I：
10.4028/www.scientific.net/AMM.598.453
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
A new type of fuzzy inference systems (FIS) is presenting. It is based on Takagi-Sugeno fuzzy inference system. New FIS has been called the enhanced fuzzy regression (EFR). In opposition to the Takagi-Sugeno, new type of FIS has fuzzy coefficients in right parts of the fuzzy rules. Fuzzy approximation theorem has been proved for the EFR. We have suggested learning procedure for EFR inference system.
引用
收藏
页码：453 / 458
页数：6
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