@misc{10498/30939,
year = {2021},
url = {http://hdl.handle.net/10498/30939},
abstract = {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.},
organization = {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.},
publisher = {IEEE},
keywords = {Concept lattice reduction},
keywords = {formal concept analysis},
keywords = {fuzzy sets},
title = {Attribute Classification and Reduct Computation in Multi-Adjoint Concept Lattices},
doi = {10.1109/TFUZZ.2020.2969114},
author = {Antoni, Lubomir and Cornejo Piñero, María Eugenia and Medina Moreno, Jesús and Ramírez Poussa, Eloísa},
}