On the Equivalence of SIRMs Connected Fuzzy Inference Method

被引:0
作者
Seki, Hirosato [1 ]
机构
[1] Osaka Univ, Grad Sch Informat Sci & Technol, Suita, Osaka 5650871, Japan
来源
2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 | 2009年
关键词
ARTIFICIAL NEURAL-NETWORKS; FUNCTIONAL EQUIVALENCE; SYSTEMS;
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
This paper addresses equivalence or fuzzy inference methods. It first presents fuzzy inference methods: the product-sum-gravity method, fuzzy singleton-type inference method and single input rule modules connected type fuzzy inference method (SIRMs method). Secondly, three fuzzy inference methods of the product-sum-gravity method, fuzzy singleton-type inference method and SIRMs method which are all widely used as fuzzy control methods are shown to be equivalent to each other. Finally, we propose a "fuzzy singleton-type SIRMs method" as weighted SIRMs method, and also shown to be the equivalent between the proposed SIRMs method and above three fuzzy inference methods.
引用
收藏
页码:1210 / 1215
页数:6
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