References
- Y. H. Joo, H. S. Hwang, K B. Kim, and K. B. Woo, "Linguistic model identification for fuzzy system," Electron Letter, vol. 31, no. 4, pp. 330-331, 1995. https://doi.org/10.1049/el:19950163
- Y. H. Joo, H. S. Hwang, K. B. Kim, and K. B. Woo, "Fuzzy system modeling by fuzzy partition and GA hybrid schemes," Fuzzy Sets Syst., vol. 86, no. 3, pp. 279-288, 1997. https://doi.org/10.1016/S0165-0114(95)00414-9
- L. A. Zadeh, "Fuzzy sets," Informat. Control, vol. 8, pp. 338-353, 1965. https://doi.org/10.1016/S0019-9958(65)90241-X
- S. Abe and R. Thawonmas, "A fuzzy classifier with ellipsoidal regions," IEEE Trans. Fuzzy Systems, vol. 5, no. 3, pp. 358-368, 1997. https://doi.org/10.1109/91.618273
- L. X. Wang and J. M. Mendel, "Generating fuzzy rules by learning from examples," IEEE Trans. Syst. Man, Cybern B., vol. 22, no. 6, pp. 1414-1427, 1992. https://doi.org/10.1109/21.199466
- H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Selecting fuzzy if-then rules for classification problems using genetic algoritms," IEEE Trans. Fuzzy Systems, vol. 3, no. 3, pp. 260-270, 1995. https://doi.org/10.1109/91.413232
- R. Thawonmas and S. Abe, "A novel approach to feature selection based on analysis of class regions," IEEE Trans. Syst. Man. Cybern B., vol. 27, no. 2, pp. 196-207, 1997. https://doi.org/10.1109/3477.558798
- 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 Systems, vol. 5, no. 1, pp. 358-368, 1995.
- H. M. Lee, C. M. Chen, J. M. Chen, and Y. L. Jou, "An efficient fuzzy classifier with feature selection based on fuzzy entropy," IEEE Trans. Syst. Man, Cybern. B., vol. 3, no. 3, pp. 426-432, 1997.
- T. P. Wu and S. M. Chen, "A new method for constructing membership functions and fuzzy rules from training examples," IEEE Trans. Syst. Man, Cybern. B., vol. 29, no. 1, pp. 25-40, 1999. https://doi.org/10.1109/3477.740163
- D. E. Goldberg, Genetic algorithms in searh, optimization, and machine learning. Addison-Wesley publishing company, Inc., 1989.
- W. Pedrycz and A. Bargiela, "Granular clustering: a granular signature of data," IEEE Trans. Syst. Man, Cybern. B., vol. 32, no. 2, pp. 212-224, 2002. https://doi.org/10.1109/3477.990878
- S. M. Chen, M. S. Yeh, and P. Y. Hsiao, "A comparison of similarity measures of fuzzy values," Fuzzy Sets Syst., vol. 72, no. 1, pp. 79-89, 1995. https://doi.org/10.1016/0165-0114(94)00284-E
- V. R. Young, "Fuzzy subsethood," Fuzzy Sets Syst., vol. 77, no. 3, pp. 371-384, 1996. https://doi.org/10.1016/0165-0114(95)00045-3
- R. A. Fisher, "The use of multiple measurements in taxonomic problems," Ann Eugenics., vol. 7, no. 2, pp. 179-188, 1936. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x
- S. Halgamuge and M. Glesner, "Neural networks in designing fuzzy systems for real world applications," Fuzzy Sets Syst., vol. 65, pp. 1-12, 1994. https://doi.org/10.1016/0165-0114(94)90242-9
- T. P. Hong and C. Y. Lee, "Induction of fuzzy rules and membership functions from training examples," Fuzzy Sets Syst., vol. 84, no. 3, pp. 33-47, 1996. https://doi.org/10.1016/0165-0114(95)00305-3
- H. Roubos and M. Setnes "Compact transparent fuzzy models and classifiers through iterative complexity reduction," IEEE Trans. Fuzzy Systems, vol. 9, no. 4, pp. 516-524, 2001. https://doi.org/10.1109/91.940965
- Y. Shi, R. Eberhart, and Y. Chen, "Implementation of evolutionary fuzzy systems," IEEE Trans. Fuzzy Systems, vol. 7, no. 2, pp. 109-119, 1999. https://doi.org/10.1109/91.755393