RT journal article
T1 Attribute Classification and Reduct Computation in Multi-Adjoint Concept Lattices
A1 Antoni, Lubomir
A1 Cornejo Piñero, María Eugenia
A1 Medina Moreno, Jesús
A1 Ramírez Poussa, Eloísa
A2 Matemáticas
K1 Concept lattice reduction
K1 formal concept analysis
K1 fuzzy sets
AB The problem of reducing information in databases is an important topic in formal concept analysis, which has been studied in several articles. In this article, we consider the fuzzy en- vironment of the multi-adjoint concept lattices, since it is a general fuzzy framework that allows us to easily establish degrees of pref- erence on the elements of the considered database. We introduce algorithms to discover the information contained in the relational system. By means of these algorithms, we classify the attributes of a multi-adjoint context, and build a minimal subset of attributes preserving the information of the original knowledge system.
PB IEEE
SN 1063-6706
YR 2021
FD 2021
LK http://hdl.handle.net/10498/30939
UL http://hdl.handle.net/10498/30939
LA eng
NO The work of L. Antoni was supported in part by the Slovak Research and Development Agency under Contract APVV-15-0091. The work of M. E. Cornejo, J. Medina, and E. Ramírez-Poussa was supported in part by the Spanish Economy and Competitiveness Ministry (MINECO) under Project TIN2016-76653-P, in part by the Department of Economy, Knowl- edge, Business and University of the Regional Government of Andalusia in project FEDER-UCA18-108612, and in part by the European Cooperation in Science & Technology (COST) Action CA17124.
DS Repositorio Institucional de la Universidad de Cádiz
RD 22-sep-2026