Building membership functions for medical knowledge representation

The paper proposes defining membership functions of fuzzy sets for medical applications. Membership junctions with different kinds of information are constructed. Methods of designing them with a deficient database are suggested A comparison of the membership function resulting form different methods is presented. A representation of an influence of considered population on medical patterns trough fuzzy sets is proposed. Indications for score test transforming into IF- THEN rules of a knowledge base are given. Advantages of the approach are shown.