RT Conference Proceedings
T1 Inference of mixed information in Formal Concept Analysis
A1 Mora-Bonilla, Ángel
A1 Cordero-Ortega, Pablo
A1 Enciso-García-Oliveros, Manuel
A1 Rodríguez, Jose Manuel
K1 Lenguajes formales
K1 Lógica simbólica y matemática
AB Negative information can be considered twofold: by means of a negation operator or by capturing the absence of information. In this second approach, a new framework have to be developed: from the syntax to the semantics, including the management of such generalized knowledge representation. In this work we traverse all these issues in the framework of formal concept analysis, introducing a new set of inference rules to manage mixed (positive and negative) attributes.
YR 2017
FD 2017-10-10
LK http://hdl.handle.net/10630/14614
UL http://hdl.handle.net/10630/14614
LA eng
NO TIN2014-59471-P of the Science and Innovation Ministry of Spain, co-funded by the European Regional Development Fund (ERDF). UNIVERSIDAD DE MÁLAGA. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026