Abstract
In this paper, we propose a fuzzy method for the diagnosis of the types of glaucoma. This method is based on the relations between the symptoms and diseases by intuitionistic fuzzy sets (IFS). For this purpose, we develop a hypothetical medical information with assigned degree of membership and degree of non-membership based on the relation between symptoms and various types of glaucoma.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Applied Information Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.