A Fuzzy Expert System Design for Diagnosis of Diseases

Fuzzy logic approach, rather than a certain or binary logic, uses a logic and decision mechanism which does not have certain boundaries like human logic. With this concept coined, one of its most common implementation was in fuzzy logic-based control mechanisms. Fuzzy logic control systems do not require complete model knowledge as in the other known control systems like proportional integral. For this purpose, many design methods have been derived. Making use of medicine expert’s knowledge and experience uncertain sensual data fuzzy systems are being developed currentl . An expert system (ES) is a knowledge-based system that employs knowledge about its application domain and uses an inferencing (reason) procedure to solve problems that would otherwise require human competence or expertise. The power of expert systems stems primarily from the specific knowledge about a narrow domain stored in the expert system's knowledge base. In this article, by using the estimation of the membership functions of the fuzzy system, an attempt has been made to improve the prediction of some diseases by the fuzzy system.

کلیدواژه ها:

Medical diagnosis ، fuzzy system ، Expert system ، fuzzy logic.