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Structure identification of acquired knowledge in fuzzy inference by genetic algorithms

  • Shohachiro Nakanishi
  • Akihiro Ohtake
  • Ronald R. Yager
  • Shinobu Ohtani
  • Hiroaki Kikuchi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1152)

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. [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)Google Scholar
  2. [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.Google Scholar
  3. [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.Google Scholar
  4. [4]
    J. H. Holland: “Adaptation in Natural and Artificial Systems,” Ann Arbor, University of Michigan Press, 1975.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Shohachiro Nakanishi
    • 1
  • Akihiro Ohtake
    • 1
  • Ronald R. Yager
    • 2
  • Shinobu Ohtani
    • 1
  • Hiroaki Kikuchi
    • 1
  1. 1.Dept. of Electrical EngineeringTokai UniversityKanagawaJapan
  2. 2.Machine Intelligence InstituteIona CollegeNew RochellUSA

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