JOURNAL ARTICLE

Classification and reduction of attributes in concept lattices

Abstract

In this paper we investigate the attribute classifica- tion and the reduction of concept lattices within the framework of rough set theory. Based on the binary relation between objects and attributes in a formal context, the properties of the irre- ducible elements on extent closure systems and the congruence on semi-lattices are discussed. Two kinds of classification methods for attributes by means of the properties are proposed. Using the classification, the reducts of concept lattices can be derived.

Keywords:
Rough set Binary relation Lattice Miner Formal concept analysis Congruence (geometry) Reduction (mathematics) Relation (database) Closure (psychology) Computer science Context (archaeology) Theoretical computer science Binary number Data mining Set (abstract data type) Set theory Mathematics Artificial intelligence Algorithm Discrete mathematics Arithmetic Programming language

Metrics

9
Cited By
0.67
FWCI (Field Weighted Citation Impact)
20
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Concept lattices reduction: Definition, analysis and classification

Sérgio M. DiasNewton J. Vieira

Journal:   Expert Systems with Applications Year: 2015 Vol: 42 (20)Pages: 7084-7097
JOURNAL ARTICLE

L-Concept lattices with positive and negative attributes: Modeling uncertainty and reduction of size

Eduard BartlJan Konečný

Journal:   Information Sciences Year: 2018 Vol: 472 Pages: 163-179
JOURNAL ARTICLE

Triadic concept lattices of data with graded attributes

Radim BělohlávekPetr Osička

Journal:   International Journal of General Systems Year: 2011 Vol: 41 (2)Pages: 93-108
© 2026 ScienceGate Book Chapters — All rights reserved.