Fuzzy based decision making for detection of Glaucoma

In an approach to manage health care issues, this work proposed a Fuzzy based decision making framework for diagnosis of Glaucoma. The fuzzy rule-based makes use of expert knowledge to deal with patient's symptom and give a precise decision according to rules constructed. The results obtained are compared with those of the ophthalmologist and are found to have 88% accuracy. Also in addition the proposed technique is efficient having a low computational cost.