The study of fuzzy context sequences

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Date
2013Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión aceptada / Onetsi den bertsioa
Impact
|
10.1080/18756891.2013.781337
Abstract
In some cases, the relationship between an object set X and an attribute set Y is set up by means of a fuzzy context sequence. A particular case of this situation appears when we want to study the evolution of an L-fuzzy context in time.
In this work, we analyze these situations. First we introduce the fuzzy context sequence definition and remind the main results about OWA operators. With the ai ...
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In some cases, the relationship between an object set X and an attribute set Y is set up by means of a fuzzy context sequence. A particular case of this situation appears when we want to study the evolution of an L-fuzzy context in time.
In this work, we analyze these situations. First we introduce the fuzzy context sequence definition and remind the main results about OWA operators. With the aid of these operators, we propose an exhaustive study of the different contexts values of the sequence using some new relations.
In the second part, we also study the fuzzy context sequences establishing tendencies and temporal patterns.
Finally, we illustrate all the results by means of examples. [--]
Subject
L-fuzzy context,
L-fuzzy concept,
Fuzzy context sequences,
OWA operators
Publisher
Atlantis Press and Taylor & Francis
Published in
International Journal of Computational Intelligence Systems, Vol. 6, No. 3 (May, 2013), 518-529
Description
This is an accepted manuscript of an article published by Taylor & Francis in International Journal of Computational Intelligence Systems in 2013, available online: http://wwww.tandfonline.com/ 10.1080/18756891.2013.781337.
Departament
Universidad Pública de Navarra. Departamento de Automática y Computación /
Nafarroako Unibertsitate Publikoa. Automatika eta Konputazioa Saila
Publisher version
Sponsorship
This paper is partially supported by the Group of research of the Public University of Navarra "Adquisición de conocimiento y minería de datos, funciones especiales y métodos numéricos avanzados" and by the Research Group “Intelligent Systems and Energy (SI+E)” of the Basque Government, under Grant IT519-10.