A fuzzy classifier with ellipsoidal regions

IEEE Transactions on Fuzzy Systems

Volumn 5, Issue 3, 1997, Pages 358-368

  Abe, Shigeo ^a,b   Thawonmas, Ruck ^a,c  

^a IEEE   (Japan)

^b KOBE UNIVERSITY   (Japan)

^c UNIVERSITY OF AIZU   (Japan)

Author keywords

Blood cell classification; Fisher iris data; Fuzzy classifiers; License plate recognition; Membership function; Neural networks; Rule extraction; Thyroid data; Tuning

Indexed keywords

DATA STRUCTURES; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MATRIX ALGEBRA; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PATTERN RECOGNITION;

ELLIPSOIDAL REGIONS; FISHER IRIS DATA; FUZZY CLASSIFIERS; RULE EXTRACTION;

FUZZY SETS;

EID: 0031209094     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.618273     Document Type: Article

References (15)

1. P. K. Simpson, "Fuzzy min-max neural networks - Part 1: Classification," IEEE Trans. Neural Networks, vol. 3, pp. 776-786, May 1992.
2. L.-X. Wang and J. M. Mendel, "Generating fuzzy rules by learning from examples," IEEE Trans. Syst., Man, Cybern., vol. 22, pp. 1414-1427, Nov./Dec. 1992.
3. S. Abe and M.-S. Lan, "A method for fuzzy rules extraction directly from numerical data and its application to pattern classification," IEEE Trans. Fuzzy Syst., vol. 3, pp. 18-28, Feb. 1995.
4. F. Uebele, S. Abe, and M.-S. Lan, "A neural network-based fuzzy classifier," IEEE Trans. Syst., Man, Cybern., vol. 25, pp. 353-361, Feb. 1995.
5. M. T. Musavi, W. Ahmed, K. H. Chan, K. B. Faris, and D. M. Hummels, "On the training of radial basis function classifiers," Neural Networks, vol. 5, pp. 595-603, Apr. 1992.
6. M. P. Windham, "Cluster validity for the fuzzy c-means clustering algorithm," IEEE Trans. Pattern Anal. Mach. Intell., vol. 4, pp. 357-363, July 1982.
7. R. Krishnapuram and J. M. Keller, "A possibilistic approach to clustering," IEEE Trans. Fuzzy Syst., vol. 1, pp. 98-110, May 1993.
8. J. C. Bezdek and R. J. Hathaway, "Convergence theory for fuzzy c-means: Counterexamples and repairs," IEEE Trans. Syst., Man, Cybern., vol. 17, pp. 873-877, Sept./Oct. 1987.
9. T. Kohonen, Self-Organization and Associative Memory, 2nd Ed. Berlin, Germany: Springer-Verlag, 1987.
10. R. Fisher, "The use of multiple measurements in taxonomic problems," Ann. Eugenics, vol. 7, pt. II, pp. 179-188, 1936.
11. M. Takatoo, M. Kanasaki, T. Mishima, T. Shibata, and H. Ota, "Gray scale image processing technology applied to vehicle license number recognition system," in Proc. Int. Workshop Indust. Applicat. Mach. Vision Mach. Intell., Tokyo, Japan, Feb. 1987, pp. 76-79.
12. H. Takenaga, S. Abe, M. Takatoo, M. Kayama, T. Kitamura, and Y. Okuyama, "Input layer optimization of neural networks by sensitivity analysis and its application to recognition of numerals," Trans. Inst. Elect. Eng. Jpn, vol. 111-D, no. 1, pp. 36-44, 1991 (in Japanese);
13. transl. English, Scripta Technica, Inc., Elect. Eng. Jpn., vol. 111, no. 4, pp. 130-138, 1991.
14. S. M. Weiss and I. Kapouleas, "An empirical comparison of pattern recognition, neural nets, and machine learning classification methods," in Proc. Int. Joint Conf. Artificial Intell., Detroit, MI, Aug. 1989, pp. 781-787.
15. A. Hashizume, J. Motoike, and R. Yabe, "Fully automated blood cell differential system and its application," in Proc. Int. Union Pure Appl. Chem. 3rd Int. Congress Automat. New Technol. Clinical Lab., Kobe, Japan, Sept. 1988, pp. 297-302.