A new fuzzy reasoning method based on the use of the Choquet integral

DOI

10.2991/eusflat.2013.104How to use a DOI?

Keywords

Fuzzy rule-based classification systems Choquet integral Fuzzy measure Fuzzy reasoning method Evolutionary algorithm

Abstract

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.

Copyright

© 2013, 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  - 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  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 731
EP  - 738
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.104
DO  - 10.2991/eusflat.2013.104
ID  - SanzDelgado2013/08
ER  -