Neighbourhood systems based attribute reduction in formal decision contexts

被引：2
|
作者：
Zhang, Xiaohe [1 ]
Mi, Jusheng [1 ]
Li, Meizheng [2 ]
Liang, Meishe [1 ,3 ]
机构：
[1] Hebei Normal Univ, Coll Math & Informat Sci, Shijiazhuang, Hebei, Peoples R China
[2] Hebei Normal Univ, Coll Comp & Cyber Secur, Shijiazhuang, Hebei, Peoples R China
[3] Shijiazhuang Vocat Technol Inst, Shijiazhuang, Hebei, Peoples R China
来源：
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY | 2019年 / 4卷 / 04期
基金：
中国国家自然科学基金;
关键词：
ACQUISITION; RULES; 3-WAY;
D O I：
10.1049/trit.2019.0039
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Attribute reduction of formal decision context mainly uses the relationship between two concept lattices generated by the condition and decision attributes to remove redundant condition attributes. By using decision attributes to observe the covering of objects, this study defines two types of consistent sets and reducts in a consistent formal decision context based on neighbourhood systems. Four types of reductions in inconsistent formal decision contexts are also studied. The methods to calculate all types of reductions are formulated by discernibility matrix. Finally, an approach to obtain the decision rules in consistent formal decision context is proposed.
引用
收藏
页码：245 / 254
页数：10
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