Rough sets and approximation schemes

被引：0
|
作者：
Marek, Victor W. [1 ]
Truszczynski, Miroslaw [1 ]
机构：
[1] Univ Kentucky, Dept Comp Sci, Lexington, KY 40506 USA
来源：
ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS, PROCEEDINGS | 2007年 / 4585卷
基金：
美国国家科学基金会;
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：
Approximate reasoning is used in a variety of reasoning tasks in Logic-based Artificial Intelligence. In this abstract we compare a number of such reasoning schemes and show how they relate and differ from the approach of Pawlak's Rough Sets.
引用
收藏
页码：22 / +
页数：3
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