Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

WOWA operators in fuzzy context sequences

Authors
Cristina Alcalde, Ana Burusco
Corresponding Author
Cristina Alcalde
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.52How to use a DOI?
Keywords
L-fuzzy concept analysis, fuzzy context sequences, WOWA operators.
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 in time of a fuzzy context. In this work, we deepen in the study of these situations. First we recover the fuzzy context sequence definition and the main results. After that, with the aid of WOWA operators and the L-fuzzy concept analysis, we propose a study of the sequences establishing tendencies and we compare the results with the previous obtained. Therefore, the L-fuzzy concept analysis can be interpreted as a tool for trend estimation. Finally, we illustrate all the results by means of an example.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.52How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cristina Alcalde
AU  - Ana Burusco
PY  - 2015/06
DA  - 2015/06
TI  - WOWA operators in fuzzy context sequences
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 357
EP  - 362
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.52
DO  - 10.2991/ifsa-eusflat-15.2015.52
ID  - Alcalde2015/06
ER  -