Decomposition of contexts into independent subcontexts based on thresholds

Abstract

The process of decomposing databases into smaller datasets, with the objective of extrapolating the information obtained in the smaller ones to the original database, represents a relevant and complex challenge in real applications. It is particularly relevant in the context of fuzzy formal concept analysis, where the complexities of knowledge extraction from datasets characterized by incomplete and imperfect data are considerable. This paper will analyze a mechanism and different properties for detecting independent subcontexts from a given context, using modal operators within the multi-adjoint concept lattice framework.

References in corpus (4)

• Factorizing formal contexts from closures of necessity operators
• Interactive Collaborative Exploration using Incomplete Contexts
• Decision support system for photovoltaic fault detection avoiding meteorological conditions
• Independent subcontexts and blocks of concept lattices. Definitions and relationships to decompose fuzzy contexts