A new fuzzy reasoning method based on the use of the Choquet integral
José Antonio Sanz Delgado, Carlos Lopez-Molina, Juan Cerrón, Radko Mesiar, Humberto Bustince
José Antonio Sanz Delgado
Available Online August 2013.
- https://doi.org/10.2991/eusflat.2013.104How to use a DOI?
- Fuzzy rule-based classification systems Choquet integral Fuzzy measure Fuzzy reasoning method Evolutionary algorithm
- In this work we use the Choquet integral as an aggregation function and we apply it in the fuzzy reasoning method of fuzzy rule-based classification systems. We study the behaviour of several fuzzy measures and we propose a genetic learning method of an appropriate fuzzy measure to model the interaction among the set of rules of each class. In the experimental study we show that the new proposal allows the performance of the fuzzy reasoning method of the winning rule to be outperformed when dealing with classification problems in which several fuzzy rules are fired to classify each example.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - José Antonio Sanz Delgado AU - Carlos Lopez-Molina AU - Juan Cerrón AU - Radko Mesiar AU - Humberto Bustince PY - 2013/08 DA - 2013/08 TI - A new fuzzy reasoning method based on the use of the Choquet integral BT - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.104 DO - https://doi.org/10.2991/eusflat.2013.104 ID - SanzDelgado2013/08 ER -