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

Study on the use of uninorm aggregation operators in linguistic fuzzy modeling

Authors
Juan M. Bardallo, Miguel A. De Vega, Francisco A. Márquez, Antonio Peregrín
Corresponding Author
Juan M. Bardallo
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.92How to use a DOI?
Keywords
Linguistic fuzzy modeling, uninorms, evolutionary fuzzy systems, adaptive inference systems.
Abstract
This work aims to develop a practical study of the uni-norms as rule antecedent aggregation operator family in Linguistic Fuzzy Modeling. Although they are well known from a theoretical point of view, they have only recently been introduced in a few specific and recent applications. Uninorms are parameterized operators that combine the membership values in the antecedent in a more flexible way than the classically employed t-norms. Therefore, we carried out an in-depth experi-mental study with six of them, using 23 regression problems of different size and complexity, and reached some conclusions.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Juan M. Bardallo
AU  - Miguel A. De Vega
AU  - Francisco A. Márquez
AU  - Antonio Peregrín
PY  - 2015/06
DA  - 2015/06
TI  - Study on the use of uninorm aggregation operators in linguistic fuzzy modeling
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  - 644
EP  - 650
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.92
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.92
ID  - Bardallo2015/06
ER  -