The Paralysis is one of the most dangerous diseases that paralyze the human body. The symptoms of a paralysis are different for each of the brain functions. The main reason for that is that someone is having a paralysis every 6 seconds. If there are six people in one place, one of those six people will have a paralysis once in their life. 30 million people now suffer from paralysis. 30 percent to 40 percent of them die on the same day of the paralysis. Heart attack is the leading cause of death in the world. The second important disease is paralysis. If you get a paralysis, you won't be able to walk, you won't be able to speak, you won't have memory, and all these are a kind of disability. If we look at any disease that is the most important cause of disability in humans, it is paralysis. In this paper the estimation analysis of paralysis effects of human nervous system is analyzed with the help of Neuro fuzzy logic controller. The proposed model estimation focused the different stages of paralysis. This neuro fuzzy logic controler verify symptoms and provides the decision based on the logical execution. In a cut-off point the proposed model achieved 91.39% of accuracy, 91.50% of precision, 93.02% of recall and 92.68% of F1- Score

Paralysis, brain functions, disability, estiomation analysis, human nervous system, Neuro fuzzy logic controller