Reyhaneh Tati - Department of Computer Engineering, Doroud Branch, Islamic Azad University, Doroud, Iran
Aymen Abdulrahman Azez Altae - Department of Computer Engineering, Isfahan(Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

Traditional effective classifiers approach become not feasible for solving early detection for disease diagnostic. Fuzzy logic interface system (FLIS) Becom More usful in disease Diagnostic approach ecpitaly in medical domain. this study represnt the survey for many authors studys in fuzzy logicg interface system (FLIS) in medical scope. since (۲۰۲۰ to ۲۰۲۲). this study based on Fuzzy interface Logic System (FLIS) focused on Four Defrent Diases ( Heart Diases, Breast Cancer Disease, Parkinson Disease, Hepatitis B Disease). based on the Fuzzy Interface logic System (FLIS) with these defernt diseases, the main objective is to browsing & serching for efeciancy of (FLIS) in other felds in the future.

Fuzzy logic interface system, Heart Diseases, Breast Cancer, Parkinson