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

DOI

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.

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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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  - 10.2991/ifsa-eusflat-15.2015.92
ID  - Bardallo2015/06
ER  -