Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semi-Separating Signaling Game
Published in IEEE Transactions on Cybernetics, 2020, 2020
This innovative study introduces a novel approach for selecting EEG electrodes, leveraging the power of interval type-2 fuzzy logic and game theory to enhance the quality and efficiency of brain signal analysis.
Recommended citation: B. Chakraborty, L. Ghosh, A. Konar. (2020). "Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semi-Separating Signaling Game." IEEE Transactions on Cybernetics, 2020. https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221036