| Hi-index | 0.00 |
The use of intelligent agents in the structure of multi-classifier systems has been investigated in order to overcome some drawbacks of these systems. As a result of this, the NeurAge system was proposed, which is a Neuro-based multi-agent system. This system has presented good results in some conventional (centralized) and distributed classification tasks. In this paper, instead of neural networks, the NeurAge agents will be composed of neuro-fuzzy networks. The main aim of this paper is to investigate the benefits of using fuzzy concepts in a neural-based multi-agent system in which data are distributed among its agents.