Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems
Authors
Mikel Elkano, Mikel Galar, Jose Sanz, Humberto Bustince
Corresponding Author
Mikel Elkano
Available Online June 2015.
- DOI
- 10.2991/ifsa-eusflat-15.2015.87How to use a DOI?
- Keywords
- Fuzzy rule-based classification systems, decomposition strategies, overlap functions, aggregations, one-vs-one, multi-classification.
- Abstract
In a previous work we proposed to enhance the performance of FARC-HD fuzzy classifier in multi-class classification problems using decomposition strategies. This synergy was further improved by introducing n-dimensional overlap functions in the learning algorithm and the inference of FARC-HD instead of the product t-norm. In this work, we extend this methodology to FURIA algorithm aiming at analyzing the behavior of the new Fuzzy Reasoning Method with overlap functions, using both decomposition strategies and the baseline FURIA. We also compare the results obtained by this new combination with those obtained in the synergy presented in our previous work for FARC-HD.
- 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 - Mikel Elkano AU - Mikel Galar AU - Jose Sanz AU - Humberto Bustince PY - 2015/06 DA - 2015/06 TI - Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems 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 - 609 EP - 616 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.87 DO - 10.2991/ifsa-eusflat-15.2015.87 ID - Elkano2015/06 ER -