Adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS) for Mobile Robot Navigation
Institue of Control, Robotics and Systems (ICROS)
Faculty of Computing, Health and Science
School of Computer and Security Science
A new Rough-Fuzzy Controller is proposed to enhance the uncertainty reasoning process in control scheme in mobile robotics. The rough set theory and fuzzy logic system were utilized to calculate the `rough-fuzziness' for inputs from environments. The experimental results showed that the proposed rough-fuzzy controller performed better control behavior compared to other control methods in mobile robot navigation.