An interpolative-type reasoning in sparse fuzzy rule bases

被引：0
|
作者：
Shi, Y [1 ]
Mizumoto, M [1 ]
机构：
[1] Kyushu Tokai Univ, Sch Informat Sci, Kumamoto 8628652, Japan
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2 | 2001年 / 69卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on Lagrange's interpolation technique, we present an interpolative-type reasoning approach in sparse fuzzy nile bases. This fuzzy reasoning approach can guarantee the membership function of an inference consequence to be of triangular-type if all of membership functions of fuzzy rules and an observation are given by triangular-type, in a sparse rule-based fuzzy system, in general. Moreover, the efficiency of the presented method shall be shown by a numerical example.
引用
收藏
页码：677 / 681
页数：5
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