Coevolution of a fuzzy rule base for classification problems

被引：0
|
作者：
Fusinska, Barbara [1 ]
Kisiel-Dorohinicki, Marek [1 ]
Nawarecki, Edward [1 ]
机构：
[1] AGH Univ Sci & Technol, Dept Comp Sci, Krakow, Poland
来源：
ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS, PROCEEDINGS | 2007年 / 4585卷
关键词：
data classification; fuzzy systems; evolutionary computation; multi-agents 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：
In the paper a certain class of classification systems based on hybrid fuzzy-genetic approach is considered. The particular solution proposed allows for coevolution of two different populations, that search for a rule base structure and linguistic variables definitions respectively. The search is organised according to the principles of evolutionary multi-agent systems, which results in high generalisation capabilities of the system, as illustrated by the preliminary experimental results.
引用
收藏
页码：678 / +
页数：3
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