Hausdorff Measure-Based Attribute Reduction of Intuitionistic Fuzzy Decision Information Systems

被引：0
|
作者：
Hao, Wen-Juan [1 ]
Li, Zhi-Wei [1 ]
机构：
[1] Capital Normal Univ, Sch Math Sci, Beijing, Peoples R China
来源：
FUZZY SYSTEM AND DATA MINING | 2016年 / 281卷
关键词：
Intuitionistic fuzzy decision information systems; lower approximation with accuracy epsilon; lower approximate distinguish matrix; ROUGH SETS;
D O I：
10.3233/978-1-61499-619-4-101
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An indiscernibility relationship between intuitionistic fuzzy sets is constructed by using a kind of hausdorff measure on intuitionistic fuzzy sets at first. Also, the operators of lower approximation with accuracy epsilon are introduced by this indiscernibility relation, and its properties are discussed. Then, the intuitionistic fuzzy rough set model is defined based on the indiscernibility relation and lower approximate reductions, and a kind of attribute reduction algorithm of this model is given. An example is employed to show its application.
引用
收藏
页码：101 / 106
页数：6
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