Obtaining interpretable fuzzy classification rules from medical data

Artificial Intelligence in Medicine

Volumn 16, Issue 2, 1999, Pages 149-169

  Nauck, Detlef ^a   Kruse, Rudolf ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Classification; Learning; Neuro fuzzy system; Rule based classifier

Indexed keywords

DATA REDUCTION; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEDICAL COMPUTING; DECISION MAKING; FUZZY INFERENCE; FUZZY SYSTEMS;

NEURO FUZZY SYSTEM; RULE BASED CLASSIFIER;

NEURAL NETWORKS; CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; DATA ANALYSIS; EXPERT SYSTEM; INFORMATION PROCESSING; INFORMATION SYSTEM; MEDICAL DECISION MAKING; MODEL; PRIORITY JOURNAL;

ALGORITHMS; DECISION MAKING, COMPUTER-ASSISTED; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER);

DECISION MAKING PROCESS; FUZZY CLASSIFICATION RULE; FUZZY RULE-BASED CLASSIFIER; INTERACTIVE STRATEGY; LEARNING; NEURO FUZZY CLASSIFICATION; NEUROFUZZY SYSTEM; RULE-BASED CLASSIFIER;

EID: 0032960792     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(98)00070-0     Document Type: Article

References (25)

1. Abe S., Lan M.S. A method for fuzzy rules extraction directly from numerical data and its application to pattern classification. IEEE Trans. Fuzzy Syst. 3:1995;18-28.
2. Abe S., Lan M.S., Thawonmas R. Tuning of a fuzzy classifier derived from data. Int. J. Approx. Reason. 14:1996;1-24.
3. Berenji H.R., Khedkar P. Learning and tuning fuzzy logic controllers through reinforcements. IEEE Trans. Neural Netw. 3:1992;724-740.
4. Bersini H, Bontempi G. Fuzzy models viewed as multi-expert networks. In: Proceedings of the Seventh International Fuzzy Systems Association World Congress IFSA '97, vol. II. Prague: Academia, 1997:354-359.
5. Bersini H., Bontempi G. Now comes the time to defuzzify neuro-fuzzy models. Fuzzy Sets Syst. 90:1997;161-170.
6. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms. 1981;Plenum Press, New York.
7. Bezdek JC, Pal SK, editors. Fuzzy Models for Pattern Recognition. New York: IEEE Press, 1992.
8. Brown M., Harris C. Neurofuzzy Adaptive Modelling and Control. 1994;Prentice Hall, New York.
9. Buckley J.J., Hayashi Y. Fuzzy neural networks: a survey. Fuzzy Sets Syst. 66:1994;1-13.
10. Buckley J.J., Hayashi Y. Neural networks for fuzzy systems. Fuzzy Sets Syst. 71:1995;265-276.
11. Gath I., Gath A. Unsupervised optimal fuzzy clustering. IEEE Trans. Pattern. Anal. Mach. Intell. 11:1989;773-781.
12. Halgamuge S.K., Glesner M. Neural networks in designing fuzzy systems for real world applications. Fuzzy Sets Syst. 65:1994;1-12.
13. Höppner F, Klawonn F, Kruse R, Kruse T. Fuzzy Cluster Analysis, Chichester: Wiley, in press.
14. Jang J.S.R. ANFIS: Adaptive-network-based fuzzy inference systems. IEEE Trans. Syst. Man Cybern. 23:1993;665-685.
15. Klawonn F., Kruse R. Constructing a fuzzy controller from data. Fuzzy Sets Syst. 65:1997;177-193.
16. Kruse R., Gebhardt J., Klawonn F. Foundations of Fuzzy Systems. 1994;Wiley, Chichester.
17. Lin C.T., Lee C.S.G. Neural Fuzzy Systems: a Neuro-Fuzzy Synergism to Intelligent Systems. 1996;Prentice Hall, New York.
18. Mamdani E.H., Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud. 7:1975;1-13.
19. Nauck D., Klawonn F., Kruse R. Foundations of Neuro-Fuzzy Systems. 1997;Wiley, Chichester.
20. Nauck D., Kruse R. A neuro-fuzzy method to learn fuzzy classification rules from data. Fuzzy Sets Syst. 89:1997;277-288.
21. Nauck D, Kruse R. What are neuro-fuzzy classifiers? In: Proceedings of the Seventh International Fuzzy Systems Association World Congress IFSA '97, vol. III. Prague: Academia, 1997:228-233.
22. Nauck D, Kruse R. How the learning of rule weights affects the interpretability of fuzzy systems. In: Proceedings of the IEEE International Conferance on Fuzzy Systems. Anchorage, 1998:1235-1240.
23. Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 15:1985;116-132.
24. Tschichold-Gürman N. Generation and improvement of fuzzy classifiers with incremental learning using fuzzy rulenet, In: George KM, Carrol JH, Deaton E, Oppenheim D, Hightower J., editors. Applied Computing 1995. Proceedings of the ACM Symposium on Applied Computing. New York:ACM Press, 1995:466-470.
25. Wolberg W., Mangasarian O. Multisurface method of pattern separation for medical diagnosis applied to breast cytology. Proc. Natl. Acad. Sci. 87:1990;9193-9196.