EEG Signals Classification by S-shaped Radial Implicative Fuzzy Systems
D. (David) Coufal · ASEP · 2011
The paper introduces an EEG signals classifier for classification of vigilance level of a car driver. The classifier is based on the concept of radial implicative fuzzy system. The novel in the presented approach is accommodation of S-shaped fuzzy sets which can handle boundary regions of the relevant input space. Both structure and parameter learning of the system are referred to and corresponding classification abilities are presented.