Performance evaluation of a fuzzy processor

One of the growing mortal disease in this world is diabetes. An estimated 285 million people worldwide are affected due to it. This disease affects the brain functionality which leads to epilepsy or brain disorder. So it is necessary to identify the precise classifier for dealing with epilepsy risk level. Here a fuzzy processor is proposed for this purpose through VHDL language, since the fuzzy logic mimics the human behavior well. Simulation of diabetic epilepsy risk level classification is done using VHDL language and synthesized in Xilinx through both the environment windows and FOSS. The fuzzy processor is checked for the two categories homogeneous and heterogeneous system which is used to classify the diabetic epilepsy risk levels. And the utilized resources were discussed with its statistics.