A discernibility matrix for the topological reduction

被引：4
|
作者：
Lin, Peirong [1 ]
机构：
[1] Zhangzhou Normal Univ, Dept Comp Sci & Engn, Zhangzhou 363000, Fujian, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2012年 / 3卷 / 04期
关键词：
Discernibility matrix; General relation; Reduction; Topological base; INFORMATION-SYSTEMS; KNOWLEDGE ACQUISITION; ROUGH; RULES;
D O I：
10.1007/s13042-011-0064-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Discernibility matrices play an important role in the attribute reduction of information systems. The reduction of a family of general relations, which preserves the topological base, is an extension of the attribute reduction of information systems. In this paper, we construct a new discernibility matrix for the topological reduction of a family of general relations.
引用
收藏
页码：307 / 311
页数：5
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