Multi-level interval-valued fuzzy concept lattices and their attribute reduction

被引：0
|
作者：
Lifeng Li
机构：
[1] Xi’an University of Posts and Telecommunications,School of Science
来源：
International Journal of Machine Learning and Cybernetics | 2017年 / 8卷
关键词：
Interval-valued fuzzy formal context; Multi-level interval-valued concept lattice; Attribute reduction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The paper introduces the multi-level interval-valued fuzzy concept lattices in an interval-valued fuzzy formal context. It introduces the notion of multi-level attribute reductions in an interval-valued fuzzy formal context and investigates related properties. In addition, the paper formulates a corresponding attribute reduction method by constructing a discernibility matrix and its associated Boolean function. The paper also proposes the multi-level granule representation in interval-valued fuzzy formal contexts.
引用
收藏
页码：45 / 56
页数：11
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