This thesis extended the optimal fuzzy logic system to large-sample problems. To do this, we first determined clusters of the sample data using the nearest neighborhood clustering algorism, and then viewed the clusters as sample data and used the opti...
This thesis extended the optimal fuzzy logic system to large-sample problems. To do this, we first determined clusters of the sample data using the nearest neighborhood clustering algorism, and then viewed the clusters as sample data and used the optimal fuzzy logic system to match them. The effectiveness of the proposed algorithm was assured through simulation.