Induction of fuzzy decision rules based upon rough sets theory

被引：0
|
作者：
Drwal, G [1 ]
Sikora, M [1 ]
机构：
[1] Silesian Tech Univ, Inst Math, PL-44101 Gliwice, Poland
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS | 2004年
关键词：
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 describes system which tries to join the advantages of rough sets methods and fuzzy sets methods to improve classification process. The fuzzy sets theory supports approximate reasoning and the rough sets theory is responsible for data analyzing and process of automatic fuzzy rules generation. This system was designed as typical knowledge based system, which contains four main parts: rule extractor, knowledge base, inference engine and user interface.
引用
收藏
页码：1391 / 1395
页数：5
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