Rule Extraction Using the Dempster-Shafer Theory in the Medical Diagnosis Support

In this paper a study of rule extraction method is presented. Dempster-Shafer theory (DST) and Fuzzy Sets theory (FST) are used to support medical decision and provide heuristic rules. The exploratory results show that DST and FST can provide rules, which can be easily interpreted by medical diagnosticians. Mentioned methods are used to process the imprecision of symptoms and uncertainty of knowledge. Different medical benchmark data sets are tested and obtained heuristic rules are shown.