Reducing attribute implications from data tables with fuzzy attributes to tables with binary attributes

被引：0
|
作者：
Belohlávek, R [1 ]
Vychodil, V [1 ]
机构：
[1] Palacky Univ, Dept Comp Sci, CZ-77900 Olomouc, Czech Republic
来源：
Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3 | 2005年
关键词：
fuzzy logic; if-then rule; attribute implication;
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：
The paper deals with if-then rules from data tables with fuzzy attributes. The main result is a general "reduction theorem" of the form: an if-then rule is true in a data table with fuzzy attributes if and only if a suitably transformed if-then rule is true in a suitably transformed data table with crisp attributes. We show consequences and applications of the reduction theorem plus some auxiliary results.
引用
收藏
页码：82 / 85
页数：4
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