Optimizing fuzzy logic with genetic algorithm

被引：0
|
作者：
Uchibori, A [1 ]
Miyajima, K [1 ]
Shidama, Y [1 ]
Yamaura, H [1 ]
机构：
[1] Shinshu Univ, Dept Informat Engn, Nagano 380, Japan
来源：
1998 SECOND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, KES '98, PROCEEDINGS, VOL 2 | 1998年
关键词：
genetic algorithm; fuzzy logic; convergency;
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：
We consider the existence of an optimal solution and the convergency of a genetic algorithm (GA) when it is used for optimizing fuzzy logic. The existence of an optimal solution is assured by the compactness of the the set of membership functions that defines the rules of the fuzzy logic. The convergency of the algorithm is assured by the compactness and the modification of the algorithm.
引用
收藏
页码：126 / 131
页数：6
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