Attribute Reductions of Object-Oriented Soft Concept Lattices in Soft Contexts

  • Min, Won Keun
Citations

WEB OF SCIENCE

0
Citations

SCOPUS

0

초록

Attribute reduction of a formal context is one of the main aims in formal concept analysis. Several methods have been proposed to deal with attribute reduction in an object-oriented concept lattice; however, these methods are inevitably very complicated. To overcome this problem, we study the notion of consistent sets and attribute reduction in object-oriented soft concept lattices in a soft context. Using independent attributes and object-oriented soft concepts, we study the characterization of consistent sets and attribute reductions of objectoriented soft concept lattices. In particular, we introduce two classes of independent attributes for object-oriented soft concepts, 1m and 2m, to construct effective attribute reductions for object-oriented soft concept lattices. Subsequently, we investigate the relationship between the two classes and attribute reduction in object-oriented soft concept lattices. Finally, we investigate meaningful information on how to construct attribute reductions for object-oriented soft concept lattices. Additionally, we apply this information to find attribute reductions in the object-oriented concept lattices of formal contexts.

키워드

Formal contextObject-oriented conceptSoft contextSoft conceptObject-oriented soft conceptConsistent setAttribute reductionFORMAL CONCEPT ANALYSISSET-THEORY
제목
Attribute Reductions of Object-Oriented Soft Concept Lattices in Soft Contexts
저자
Min, Won Keun
DOI
10.5391/IJFIS.2024.24.1.50
발행일
2024-03
유형
Article
저널명
International Journal of Fuzzy Logic and Intelligent Systems
24
1
페이지
50 ~ 60