The Eyesight Diagnosis Based On Fuzz LogicAnd Artificial Neural Networks

Abstract

#This research provides new methods to diagnose eyesight state for people with problems in the vision and to define the problem (if it is found), is it Myopia (Short- Sightedness) or  Hypermetropia (Long-Sightedness), by getting eyesight distance (SPH) and deviation (CYL) measurements, wherever the measurements of SPH or CYL are in normal Range then there is no problem for physician, but when measurements of both SPH and Cyl are out of normal Range it is relatively difficult and take more time to take decision. Because of the importance of eyesight, we have the diagnosis using Neural Networks and Fuzzy Logic system to detect the performance of these used methods and to know the ability of each of them to confirm and assist specialist physician to take appropriate decision.