Study on the use of uninorm aggregation operators in linguistic fuzzy modeling
- https://doi.org/10.2991/ifsa-eusflat-15.2015.92How to use a DOI?
- Linguistic fuzzy modeling, uninorms, evolutionary fuzzy systems, adaptive inference systems.
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.
- © 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 - 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 -