Complex Fuzzy Concept Lattice

被引：12

作者：

Singh, Prem Kumar ^{[1
]}

机构：

[1] Amity Univ, Amity Inst Informat Technol, Sect 125, Noida 201303, Uttar Pradesh, India

来源：

NEURAL PROCESSING LETTERS | 2019年 / 49卷 / 03期

关键词：

Complex data set; Complex fuzzy graph; Complex fuzzy logic; Complex fuzzy sets; Concept lattice; Formal concept analysis (FCA); GRAPH REPRESENTATION; KNOWLEDGE REDUCTION; DISTANCE; MATRIX; SETS;

D O I：

10.1007/s11063-018-9884-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, several properties of complex fuzzy sets are introduced to measure the changes in dynamic or periodic fuzzy attributes using its amplitude and phase terms. In this process, a problem is observed while discovering some of the meaningful information from the given complex data sets for the knowledge processing tasks. The reason is lack of researches on complex fuzzy matrix and its graphical properties. To fill this backdrop, the current paper introduces a method for mathematical analysis of complex fuzzy context using the properties of lower neighbors and d-equality. The current paper also describes the application of the complex fuzzy concept lattice with an illustrative example.

引用

页码：1511 / 1526

页数：16

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