A proposal of fuzzy modeling on fusion axes considering the data structure

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2003, Pages 348-353

  Yamamoto, Kosuke ^a   Yoshikawa, Tomohiro ^a   Furuhashi, Takeshi ^a  

^a MIE UNIVERSITY   (Japan)

Author keywords

Fusion axis; Fuzzy Modeling; Understandability of rules

Indexed keywords

COMPUTATIONAL METHODS; FUZZY SETS; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

FUZZY MODELING;

DATA STRUCTURES;

EID: 0038537561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. T. Takagi and M. Sugeno, "Fuzzy Identification of Systems and its Applications to Modeling and Control", IEEE Trans. on Syst., Man and Cybern., Vol.SMC-15, pp.116-132, 1985
2. M. Sugeno and G. T. Kang, "Structure Identification of Fuzzy Model", Fuzzy Sets Systems, Vol.28, pp.15-33, 1988
3. M. Sugeno and K. Tanaka, "Successive Identification of a Fuzzy Model and its Applications to Prediction of a Complex System", Fuzzy Sets Systems, Vol.42, pp.315-334, 1991
4. L. X. Wang and J. M. Mendel, "Generating Fuzzy Rules by Learning from Examples", IEEE Trans. on Syst., Man and Cybern., Vol. 22, pp.1414-1427, 1992
5. C. L. Karr, "Design of an Adaptive Fuzzy Logic Controller Using a Genetic Algorithms", Proc. of the 4th Int. Conf. on Genetic Algorithm, pp.450-457, 1991
6. T. Yoshikawa, T. Furuhashi and Y. Uchikawa, "Acquisition of Fuzzy Rules from DNA Coding Method", Lecture Notes in Artificial Intelligence 1152, pp.73-88, 1996
7. J.-S. R. Jang, "ANFIS: Adaptive-Network-based Fuzzy Inference Systems," IEEE Trans, on Syst., Man and Cybern., Vol.23, No.3, pp.665-685, 1993
8. H. Ichihashi, "Iterative Fuzzy Modeling and a Hierarchical Network", IFSA'91, pp.49-52, 1991
9. S. Horikawa, T. Furuhashi and Y Uchikawa, "On Fuzzy Modeling Using Fuzzy Neural Networks with the Back-Propagation Algorithm", IEEE Trans. on Neural Networks, Vol.3, No.5, pp.801-806, 1992
10. H. Nomura, I. Hayashi and N. Wakami, "A learning method of fuzzy inference rules by descent method", Proc. IEEE Int. Conf. Fuzzy Syst. pp.203-210, 1992
11. S. Matsushita, A. Kuromiya, M. Yamaoka, T. Furuhashi and Y Uchikawa, "Determination of Antecedent Structure for Fuzzy Modeling Using Genetic Algorithm", Proc. of Int. Conf. on Evolutionary Computation (ICEC'96), pp.235-238, 1996
12. S. Nakayama, T. Furuhashi, Y. Uchikawa, "A proposal of Hierarchical Fuzzy Modeling Method", Journal of SOFT, Vol.5, No.7, pp.1155-1168, 1993
13. J. C. Bezdek, "Pattern Recognition with Fuzzy Objective Function Algorithms", Plenum, New York, 1981
14. S. Miyamoto and M. Mukaidono, "Fuzzy C-means as a Regularization and Maximum Entropy Approach", IFSA'97, Vol.2, pp.86-92, 1997
15. R. O: Duda, P. E. Hart and D. G. Stork, "Pattern Classification - 2nd ed.", A Wiley., 2000
16. G. E. P. Box and G. M. Jenkins, "Time Series Analysis", Forecasting and Control. San Francisco, CA, Holden Day, 1970
17. E. Kim, M. Park, S. Ji and M. Park, "A New Approach to Fuzzy Modeling", IEEE Trans. on Fuzzy Systems, Vol.5, No.3, pp.328-337, 1997
18. R. J. Hathaway and J. C. Bezdek, "Switching Regression Models and Fuzzy Clustering", IEEE Trans. on Fuzzy Systems, Vol.1, No.3, 1993
19. E. Kim, M. Park, S. Kim and M. Park, "A Transformed Input-Domain Approach to Fuzzy Modeling", IEEE Trans, on Fuzzy Systems, Vol.6, No.4, pp.596-605, 1998
20. H. Pomares, I. Rojas, J. Gonzalez and A. Prieto, "Structure Identification in Complete Rule-Based Fuzzy Systems", IEEE Trans. on Fuzzy Systems, Vol.10, No.3, pp.349-359, 2002
21. K. Tachibana, "A Study on Fuzzy Modeling Using Genetic Algorithm and Its Application to Biomechanics", Ph.D. thesis, Nagoya University, 2002
22. J. Friedman, "Multivariate Adaptive Regression Splines", Technical Report No.102, 1988