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Structure identification of acquired knowledge in fuzzy inference by genetic algorithms

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Fuzzy Logic, Neural Networks, and Evolutionary Computation (WWW 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1152))

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Abstract

In the fuzzy modelling and construction of fuzzy inference rules for fuzzy controllers, it is a very important problem to acquire automatically the knowledge for the objects from only their given data. Many methods for knowledge acquisition have been reported and published in the many journals and proceedings in the conference. However, there are no method to identify the structure of acquired knowledge. Then the authors propose a method to identify the structure of the acquired knowledge for objective systems in the form of the multi-stage fuzzy inference from only their given input and output data by a genetic algorithm

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References

  1. H. Ichihashi and T. Watanabe: “Learning Control by Fuzzy Models Using a Simplified Fuzzy Reasoning,” Journal of Japan Society for Fuzzy Theory and Systems (SOFT), Vol. 2, No.3, pp. 429/437, 1990. (in Japanese)

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  2. Michael A. Lee and H. Takagi: “Integrating Design Stages of Fuzzy Systems using Genetic Algorithms,” Proceedings of Second IEEE International Conference on Fuzzy Systems, Vol. 1, pp. 612/617, 19993.

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  3. T. Fukuda, Y. Hasegawa, and K. Shimijima: “Structure Organization of Hierarchical Fuzzy Model using by Genetic Algorithm,” Proceedings of FUZZ-IEEE/IFES'95, Vol. 1, pp. 295–299, 1995.

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  4. J. H. Holland: “Adaptation in Natural and Artificial Systems,” Ann Arbor, University of Michigan Press, 1975.

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Authors and Affiliations

  1. Dept. of Electrical Engineering, Tokai University, 1117, Kitakaname, Hiratsuka, 259-12, Kanagawa, Japan

    Shohachiro Nakanishi, Akihiro Ohtake, Shinobu Ohtani & Hiroaki Kikuchi

  2. Machine Intelligence Institute, Iona College, 10801, New Rochell, NY, USA

    Ronald R. Yager

Authors
  1. Shohachiro Nakanishi
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  2. Akihiro Ohtake
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  3. Ronald R. Yager
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  4. Shinobu Ohtani
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  5. Hiroaki Kikuchi
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Editor information

Takeshi Furuhashi Yoshiki Uchikawa

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© 1996 Springer-Verlag Berlin Heidelberg

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Nakanishi, S., Ohtake, A., Yager, R.R., Ohtani, S., Kikuchi, H. (1996). Structure identification of acquired knowledge in fuzzy inference by genetic algorithms. In: Furuhashi, T., Uchikawa, Y. (eds) Fuzzy Logic, Neural Networks, and Evolutionary Computation. WWW 1995. Lecture Notes in Computer Science, vol 1152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61988-7_14

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  • DOI: https://doi.org/10.1007/3-540-61988-7_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61988-8

  • Online ISBN: 978-3-540-49581-9

  • eBook Packages: Springer Book Archive

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