An Algorithm for Quality Analysis of Contact Lens in Opthalmology (QACLO) Using Fuzzy Expert System

This paper focus on an algorithm for identifying the quality contact lens material in the field of ophthalmology. The algorithm was generated by using Fuzzy Expert System. Contact lenses such as RGP, Soft and Hybrid are considered as the dataset for this research. An algorithm has been proposed to provide a unified model in the field of contact lens manufacturing and quality control unit. This algorithm identifies and reduces the impact of side effects on wearing the contact lens. The algorithm was designed using Fuzzy logic and implemented in Java. The logic of the algorithm focuses on identifying the appropriate contact lens, which can be used as a second opinion tool for the opticians, ophthalmologist and optometrists.