“Fuzzy Classification Algorithms in Brain-Computer Interfaces” by Stepan Bolotnikov

In this thesis, the usage of fuzzy classification algorithms in brain-computer in- terfaces (BCI) based on electroencephalography (EEG) is researched. We review the existing literature on BCI, the traditional crisp algorithms often used in BCI for classification, fuzzy classification algorithms and their application in BCI. A simple BCI system is implemented that allows the user to move a cursor on the computer screen. Tests conducted with this application did not show that fuzzy classification algorithms have advantage over crisp classification algorithms in this kind of BCI systems.

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