Building membership functions for medical knowledge representation

• Autorzy: Straszecka E.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

fuzzy sets; medical diagnosis support; membership function

PL

zbiory rozmyte; diagnostyka medyczna; funkcje przynależności

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2003
• Tom: Vol. 11, nr 2
• Strony: 55--66
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Straszecka E.

• Division of Biomedical Engineering, Institute of Electronics, Silesian Technical University, 16 Akademicka St., 44-100 Gliwice, Poland,

Bibliografia

• [1] Boston J. R.: Effects of Membership Function Parameters on the Performance of a fuzzy Signal Detector. IEEE Transactions on Fuzzy Systems, vol. 5, No 2,1997, pp. 249-255.
• [2] Civanlar M. R., Trussed H. J.: Constructing membership functions using statistical data. In Fuzzy Sets and Systems, vol. 18, 1986. pp. 1-13.
• [3] Rojas I., Pomares H., Ros E., Pietro A.: Automatic construction of fuzzy rules and membership functions from training examples. Proc. EUFIT’98, 1998, pp. 618-622.
• [4] Schuerz M., Hipf G., Grabner G.: An assesment of different approaches to defining fuzzy membership functions semi-automatically. Proc. ERUDIT-Workshop, Austria, 2000, pp. 129-137,
• [5] Straszecka E.: An Application of Fuzzy Identification in Medical Diagnostic Rules Determination, Proc. 4-th European Congress on Intelligent Techniques and Soft Computing EUFIT'96, Aachen, Germany, 1996, pp. 2128-2132.
• [6] Straszecka E.: Fuzzy Systems in Medicine, P.S. Szczepaniak, P.J.G. Lisboa, J. Kacprzyk (edts.), Physica-Verlag, Springer Verlag Company: Chapter: Defining Membership Functions. Of fuzzy sets in medical decision support, Physica-Verlag Heidelberg, New York, 2000, pp. 32-47.
• [7] Takagi T., Sugeno M.: Fuzzy Identification of Systems and Its Applications to Modeling and Control, IEEE Trans, on Systems, Man & Cybernetics, Vol. SMC-15, No 1, Jan./Feb, 1985, pp. 116-132.
• [8] Wydrzyński L.: INFARCTEST - Komputerowy test zagrożenia zawałem serca oraz wczesnego wykrywania choroby niedokrwiennej serca, nadciśnienia tętniczego i cukrzycy, POLGAT Gliwice, Poland 1990.