Fuzzy automaton model with adaptive inference mechanism for intelligent decision support systems
Janos L. Grantner, Sean T. Fuller, József Dániel Dombi · 2016
Intelligent decision support systems may be required to adapt to changes in their operating environment. FPGA-based hardware accelerators can be used to design embedded systems that are reprogrammable and reconfigurable. A new algorithm was proposed to implement a dynamic, adaptive inference mechanism. A hardware accelerator was developed for this fuzzy automaton model. A Zynq-7000 FPGA platform was used for the hardware implementation. An application example was given in the context of eye-hand coordination problems with handicapped children. Simulations results were presented to verify the hardware implementation.