Abstract:
Expert systems are typically developed to solve
unclear application fields or problems. Expert
systems based on fuzzy logic has two advantages
over traditional expert systems: high approximation
ability and high accuracy. Therefore fuzzy expert
systems are widely used in the fields which have very
high complexity and uncertainty. In this paper, a
fuzzy expert system for Coronary Heart Disease
diagnosis will be developed. There exists no strict
boundary between what is Healthy and what is
Diseased, thus distinguish is uncertain and vague.
Therefore this proposed system will be very useful to
diagnosis for Coronary Heart Disease. The proposed
system will use 12 input fields and one output field. If
the user absence of disease, the result shows
Healthy. If the user presence of disease, the result
shows the situations of Coronary Heart Disease. And
this system will give advices and drug treatment for
the user’s disease.
