Interval neutrosophic fuzzy concept lattice representation and interval-similarity measure

被引：6
|
作者：
Mao, Hua [1 ]
Lin, Geng-Mei [1 ]
机构：
[1] Hebei Univ, Sch Math & Informat Sci, Baoding, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2017年 / 33卷 / 02期
关键词：
Interval neutrosophic set; formal concept analysis; interval-similarity measure; LINGUISTIC AGGREGATION OPERATORS; SETS;
D O I：
10.3233/JIFS-162272
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper applies the interval neutrosophic set theory to express fuzzy formal concept. A new interval neutrosophic fuzzy concept lattice is proposed. Furthermore, interval-distance and interval-similarity measure are discussed. We can find some interval neutrosophic fuzzy concepts to meet particular similarity range given by users. The result of this paper may enhance the flexibility of extracting knowledge and expand the capacity of knowledge.
引用
收藏
页码：957 / 967
页数：11
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