Performance Comparison of Efficient Type-Reduction Approaches for Interval Type-2 Fuzzy Logic Control

Although many articles have shown that the control performance of interval type-2 fuzzy logic controllers (IT2 FLCs) is better than type-1 FLCs, the computational cost of it is high, which makes it hard to develop in the real world. Our previous research has recommended six TR approaches for their efficiency, but which one has the best performance is still an unknown problem. In the paper, IT2 FLCs using these six TR approaches are optimized using genetic algorithms, and we compared their control performances based on a coupled tank apparatus for controlling the water level. Results show that there is no statistically significant difference among the control performances of these approaches.