Attribute and size reduction mechanisms in multi-adjoint concept lattices

被引：29

作者：

Eugenia Cornejo, M. ^{[1
]}

Medina, Jesus ^{[2
]}

Ramirez-Poussa, Eloisa ^{[2
]}

机构：

[1] Univ Cadiz, Dept Stat & OR, Cadiz, Spain

[2] Univ Cadiz, Dept Math, Cadiz, Spain

来源：

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2017年 / 318卷

关键词：

Fuzzy sets; Formal concept analysis; Concept lattice reduction; HEDGES;

D O I：

10.1016/j.cam.2016.07.012

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Attribute reduction and size reduction in concept lattices are key research topics in Formal Concept Analysis (FCA). This paper combines both strategies in the multi-adjoint concept lattice framework in order to simplify the information provided by the original context. Specifically, we present three procedures which merge the attribute reduction and the size reduction by means of an irreducible alpha-cut concept lattice, analyzing the obtained properties. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：388 / 402

页数：15

共 28 条

[1]

[Anonymous], 9 INT C CONC LATT TH

[2]

Belohlavek R., 1998, Joint Conference on Intelligent Systems 1999 (JCIS'98), P179

[3]

Belohlávek R, 2005, IEEE INT CONF FUZZY, P663

[4]

Cornejo M. E., 2013, INT C FUZZ LOG TECHN, P125