Abstract
This paper deals with an medical fuzzy expert system for the diagnosis, the test (examination), and the treatment in the anovulation. This system is consisted of the three parts which are the knowledge acquisition and change system, the reasoning engine, and knowledge data base. Each part is constructed of some frames. Knowledge rules for the diagnosis and the selection of the test and the treatment are represented by the fuzzy production rules. And those are set in the frames of disease, test, and treatment.
In this system, the possible diseases, the tests for the diagnosis, and the treatments of the disease are obtained by the approximate reasoning. But the test and the treatment are finally selected by evaluating the factors such as the cost, the risk, the amount of information, and effect before those are put in practice.
As an application of this system, 43 examples of anovulatory women are simulated based on those clinical records.
