References
- C.L Blake and C.J. Merz, 'UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/ML Repository. html]', Irvine, CA: University of California, Department of Information and Computer Science, 1998
- G. A. Carpenter, S. Grossberg, and J. H. Reynolds, 'ARTMAP: Supervised realtime learning and classification of nonstationary data by a self-organizing neural network,' Neural Networks, Vol. 4, pp. 565-588, 1991 https://doi.org/10.1016/0893-6080(91)90012-T
- R.O. Duda and P.E. Hart, 'Pattern Classification and Scene Analysis', New York: Wiley, 1973
- R. A. Fisher, 'The Use of Multiple Measurements in taxonomic Problem,' Annals of Eugenics, Vol. 7, No.2, pp.179-188, 1936 https://doi.org/10.1111/j.1469-1809.1936.tb02137.x
- A. F. Gomez-Skarmeta, M. V. F. Jimenez, J. G. MarinBlazques, 'Approximative Fuzzy Rules Approaches for Classification with Hybrid-GA Techniques,' Infonnation Sciences, Vol. 136, pp.193-214, 2001 https://doi.org/10.1016/S0020-0255(01)00148-7
- S. Haykin, 'Neural Networks, a comprehensive foundation', Prentice Hall, New Jersey, 1999
- H. Ishibuchi and T. Nakashima, 'Voting in Fuzzy Rule-Based Systems for Pattern Classification Problems,' Fuzzy Sets and Systems, Vol. 103, pp. 223-238, 1999 https://doi.org/10.1016/S0165-0114(98)00223-1
- R. Jang, 'ANFIS: Adaptive network-based fuzzy inference system,' IEEE Trans. Syst., Man, Cybern., Vol. 23, pp. 665-685, May-June 1993 https://doi.org/10.1109/21.256541
- C. F. Juang and C. T. Lin, 'An On-Line Self-Constructing Neural Fuzzy Inference Network and Its Applications,' IEEE Trans. Fuzzy Systems, Vol. 6(1), pp. 12-32, 1998 https://doi.org/10.1109/91.660805
- N. Kasabov, Foundation of Neural Networks, Fuzzy Systems and Knowledge Engineering, The MIT Press, Cambridge, MA, 1996
- T. Kasuba, 'Simplified Fuzzy ARTMAP,' IEEE AI Expert, pp. 19-25, Nov. 1993
- B. Kosko, Neural networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Englewood Cliffs, NJ:Prentice-Hall, 1992
- H.-M. Lee, K.-H. Chen, and I-F. Jiang, 'A Neural Networks with Disjunctive Fuzzy Information,' Neural Networks, Vol. 11, pp. 1113-1125, 1998 https://doi.org/10.1016/S0893-6080(98)00058-6
- C. T. Lin and C. S. George Lee, 'Neural-network-based fuzzy logic control and decision system,' IEEE Trans. Computers, Vol. 40, No. 12, Dec., 1991
- D. Nauck and R Kruse, 'A Neuro-Fuzzy Method to Learn Fuzzy Classification Rules from Data,' Fuzzy Sets and Systems, Vol. 89, pp. 277-288, 1997 https://doi.org/10.1016/S0165-0114(97)00009-2
- M. Setnes and H. Roubos, 'GA-Fuzzy Modeling and Classification: Complexity and Perfonnance,' IEEE Trans. Fuzzy Systems, Vol. 8(5), pp. 509-522, 2000 https://doi.org/10.1109/91.873575
- P. Simpson, 'Fuzzy min-max neural networks-Part 1: Classification,' IEEE Trans. Neural Networks, Vol. 3, pp. 776-786, 1992 https://doi.org/10.1109/72.159066
- T. Takagi and M. Sugeno, 'Fuzzy Identification of Systems and Its Application to Modeling and Control,' IEEE Trans. Syst., Man, Cybern., Vol. 15, pp. 116-132, 1985
- K. Tanaka, M. Sano, and H. Watanabe, 'Modeling and Control of Carbon Monoxide Concentration Using a Neuro-Fuzzy technique,' IEEE Trans. Fuzzy Systems, Vol. 3, pp. 271-279, June, 1995 https://doi.org/10.1109/91.413233
- C. Z. Ye, J. Yang, D. Y. Geng, Y. Zhou, N. Y. Chen, Fuzzy Rules to Predict Degree of Malignancy in Brain Glioma,' Medical and Biological Engineering and Computing, Vol.40, 2002
- J. S. Wang and C. S. G. Lee, 'Self-Adaptive Neuro-Fuzzy Inference System for Classification Applications,' IEEE Trans. Fuzzy Systems, Vol. 10(6), pp. 790-802, 2002 https://doi.org/10.1109/TFUZZ.2002.805880
- W. Wolberg, O. Mangasarian, 'Multisurface Method of Pattern . for Medical Diagnosis Applied to Breast Cytology,' Proc. National Academy of Sciences, Vol.87, pp. 9193-9166, 1990 https://doi.org/10.1073/pnas.87.23.9193
- L. Zadeh, 'Fuzzy sets. Information and Control,'Vol. 8, pp. 338-353, 1965. E. E. Reber, R. L. Michell, and C. J. Carter, 'Oxygen absorption in the Earth's atmosphere,' Aerospace Corp., Los Angeles, CA, Tech. Rep. TR-0200 (420-46)-3, Nov. 1988 https://doi.org/10.1016/S0019-9958(65)90241-X
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