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An Analysis of Fuzzy Models and a Discussion of their Limitations

  • R. M. Tong

Abstract

This paper considers the value of fuzzy models as descriptions of technological processes. It analyses the effect of a priori assumptions on the quality of the model and introduces a systematic technique for constructing fuzzy models from normal operating records. Finally, the paper contains three case studies which serve as examples for a discussion of the limitations of this approach to process modelling.

Keywords

Fuzzy Model Fuzzy Controller Water Quality Data River Water Quality Control Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    R. M. Tong, “Synthesis of fuzzy models for industrial processes” Int. J. Gen. Systems (May, 1978, to appear).Google Scholar
  2. 2.
    E. H. Mamdani, “Advances in the linguistic synthesis of fuzzy controllers”. Int. J. Man-Machine Studies 8, 669–678 (1976).MATHCrossRefGoogle Scholar
  3. 3.
    R. M. Tong, “A control engineering review of fuzzy systems”. Automatica (Nov. 1977, to appear).Google Scholar
  4. 4.
    G. E. P. Box and G. M. Jenkins, Time Series Analysis, Forecasting and Control (Holden Day, 1970).Google Scholar
  5. 5.
    M. B. Beck and P. C. Young, “A dynamic model for DO-BOD relationships in a non-tidal stream” Water Research 9, 769–776 (1975).CrossRefGoogle Scholar

Copyright information

© The World Organisation of General Systems and Cybernetics 1978

Authors and Affiliations

  • R. M. Tong
    • 1
  1. 1.Control and Management Systems DivisionUniversity Engineering DepartmentCambridgeUK

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