Trend analysis in L-fuzzy contexts with absent values
Date
2020
Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
ES/1PE/TIN2016-77356-P
Impact
Abstract
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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Subject
Trend analysis,
L-fuzzy context,
Absent values,
L-fuzzy concept,
L-fuzzy context sequence
Publisher
University of Sistan and Baluchestan (Irán)
Published in
Iranian Journal of Fuzzy Systems, 2020, 17 (3), 69-84
Departament
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
Sponsorship
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).
