A Fuzzy Expert System for Prognosis

The heart is the most important member of the human body. Its task is giving blood to all the members. Disruption in the work of the member makes up compromised the human health. Many factors affect the proper functioning of this organ. In this article we're going to design a system that will help to doctors in diagnosing heart disease. The rules of this system is extracted by consultation with a physician cardiologi Mathematical models can solve problems that their inputs are number, their logic is binary and their sets are crisp. To solve problems that their input is linguistic terms and there is uncertainty in the problems and in fact processing this kind of pro concerned with words, in this case simple mathematical models and binary logic are not capable to solve it so fuzzy logic is used for processing with words. Fuzzy logic is capable to manage uncertainty in the issues and real that have been raised in the fuzzy logic, Mamdani model, Sugeno model are two commonly applied methods. In this study a fuzzy expert system is capable to detect heart disease in the people by using clinical knowledge that are usually expressed in th form of linguistic terms. The input and output of this system are fuzzy sets and the inference model is Mamdani because it is the only model that is capable to analyze the systems that their inputs and outputs are fuzzy sets and can easily interact with human. A Fuzzy Expert System for Prognosis