International Journal of Fuzzy Logic and Intelligent Systems

  • 제6권2호
  • /
  • Pages.138-143
  • /
  • 2006
  • /
  • 1598-2645(pISSN)
  • /
  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지
DOI QR코드

DOI QR Code

Optimal Fuzzy Models with the Aid of SAHN-based Algorithm

  • Lee Jong-Seok (Dept. of Radiotechnology, Wonkwang Health Science College) ;
  • Jang Kyung-Won (Dept. of Electrical Electronic and Information Eng., Wonkwang University) ;
  • Ahn Tae-Chon (Dept. of Electrical Electronic and Information Eng., Wonkwang University)
  • 발행 : 2006.06.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, we have presented a Sequential Agglomerative Hierarchical Nested (SAHN) algorithm-based data clustering method in fuzzy inference system to achieve optimal performance of fuzzy model. SAHN-based algorithm is used to give possible range of number of clusters with cluster centers for the system identification. The axes of membership functions of this fuzzy model are optimized by using cluster centers obtained from clustering method and the consequence parameters of the fuzzy model are identified by standard least square method. Finally, in this paper, we have observed our model's output performance using the Box and Jenkins's gas furnace data and Sugeno's non-linear process data.

키워드

참고문헌

  1. K.W. Jang, T. C. Ahn, 'An Empirical study on Data Pattern Estimation with Center of Gravity', Proceedings of IEEK Summer Conference, vol.26, no. 1, pp.1541-1544, 2003
  2. G. E. P. Box, G.M. Jenkins, 'Time Series Analysis-Forcasting and Control', Holden Day, Inc., 1976
  3. M. Sugeno, T. Yasukawa, 'A Fuzzy Logic Based Approach to Qualitative Modeling', IEEE Trans. on Fuzzy Systems, Vol.1, No.1, PP. 7-31, 1993 https://doi.org/10.1109/TFUZZ.1993.390281
  4. S. K. Oh and W. Pedrycz, 'Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems', Fuzzy Sets and Syst. Vol. 115, pp. 205-230, 2000 https://doi.org/10.1016/S0165-0114(98)00174-2
  5. B. J. Park, C. S. Park, S. K. Oh and H. K. Kim, 'Optimization of fuzzy system by means of GA', Proc. KFIS, pp. 112-115,1998
  6. B. J. Park, W. Pedrycz, S. K. Oh, 'Identification of fuzzy model with the aid of evolutionary data granulation', IEE Proc.-CTA, vol. 148, no. 5, pp. 406-418, 2001
  7. R. M. Tong, 'The evolution of fuzzy models derived from experimental data', Fuzzy Sets Syst., vol. 4, pp. 1-12, 1980 https://doi.org/10.1016/0165-0114(80)90059-7
  8. W. Pedrycz, 'An identification algorithm in fuzzy relational systems', Fuzzy Sets Syst., vol. 13, pp. 153-167, 1984 https://doi.org/10.1016/0165-0114(84)90015-0
  9. C. W. Xu and Y. Z. Lu, 'Fuzzy model identification and self-learning for dynamic systems', IEEE Trans. Syst., Man, Cybern., vol. SMC-17, pp. 683-689, July/Aug. 1987