Trend analysis in L-fuzzy contexts with absent values
Fecha
2020Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
ES/1PE/TIN2016-77356-P
Impacto
|
10.22111/ijfs.2020.5350 (erróneo)
Resumen
Sometimes we have to work with L-fuzzy context sequences where one or more values are missing. These sequences can represent, among other things, the evolution in time of an L-fuzzy context. The studies of tendencies that we have done so far used tools that are not valid when the L-fuzzy context has unknown values. In this work we address such situations and we propose new methods to tackle the p ...
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Sometimes we have to work with L-fuzzy context sequences where one or more values are missing. These sequences can represent, among other things, the evolution in time of an L-fuzzy context. The studies of tendencies that we have done so far used tools that are not valid when the L-fuzzy context has unknown values. In this work we address such situations and we propose new methods to tackle the problem. Besides, we use the study of tendencies to analyse relations between the objects and the attributes of L-fuzzy contexts and to replace the absent values taking into account the behaviour of the sequence. [--]
Materias
Trend analysis,
L-fuzzy context,
Absent values,
L-fuzzy concept,
L-fuzzy context sequence
Editor
University of Sistan and Baluchestan (Irán)
Publicado en
Iranian Journal of Fuzzy Systems, 2020, 17 (3), 69-84
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Entidades Financiadoras
This work has been partially supported by the Research Group 'Intelligent Systems and Energy (SI+E)' of the Basque Government, under Grant IT1256-19, and by the Research Group 'Artificial Intelligence and Approximate Reasoning' of the Public University of Navarra, of the Spanish Government, under Project TIN2016-77356-P (MINECO, AEI/FEDER, UE).