Analysis of interval-valued decision formal contexts

被引：5
作者：
Wang, Hong [1 ]
Cui, Pin-Zhi [1 ]
机构：
[1] Shanxi Normal Univ, Coll Math & Comp Sci, Linfen 041004, Shanxi, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2015年 / 29卷 / 04期
关键词：
Interval-valued decision formal contexts; large interval-valued concept lattices; knowledge reduction; rule acquisition; ATTRIBUTE REDUCTION; KNOWLEDGE REDUCTION; RULE ACQUISITION; CONCEPT LATTICES;
D O I：
10.3233/IFS-151635
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This study investigates a novel approach to knowledge reduction in interval-valued decision formal contexts. Applying rule acquisition, we formulate a new framework of knowledge reduction for interval-valued decision formal contexts and the presented framework can be applicable to any interval-valued decision formal contexts. Based on this reduction method, more compact decision rules that can imply all of those derived from the initial interval-valued decision formal contexts in the form of implication rules are obtained. Furthermore, a corresponding reduction method is developed by constructing a discernibility matrix and its associated Boolean function.
引用
收藏
页码：1565 / 1574
页数：10
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