Study on the use of uninorm aggregation operators in linguistic fuzzy modeling
Juan M. Bardallo, Miguel A. De Vega, Francisco A. Márquez, Antonio Peregrín
Juan M. Bardallo
Available Online June 2015.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 -