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Identification of nonlinear objects by fuzzy knowledge bases

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References

  1. Sh. E. Shteinberg, Identification in Control Systems [in Russian], Energoatomizdat, Moscow (1987).

    Google Scholar 

  2. Ya. Z. Tsypkin, Fundamentals of Information Theory of Identification [in Russian], Nauka, Moscow (1984).

    Google Scholar 

  3. L. Zadeh, The Concept of Linguistic Variable and Its Application in Approximate Decision Making [Russian translation], Mir, Moscow (1976).

    Google Scholar 

  4. A. P. Rotshtein, Medical Diagnosis Using Fuzzy Logic [in Russian], Kontinent-PRIM, Vinnitsa (1996).

    Google Scholar 

  5. A. P. Rotshtein, G. A. Chernovolik, and E. P. Laryushkin, “Training of membership functions of fuzzy sets,” Visnik VPI, No. 3, 72–75 (1996).

  6. H. J. Zimmermann, Fuzzy Set Theory and Its Application, Vol. 3, Kluwer, Dordrecht (1996).

    Google Scholar 

  7. B. T. Polyak, Introduction to Optimization [in Russian], Nauka, Moscow (1983).

    Google Scholar 

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Translated from Kibernetika i Sistemnyi Analiz, No. 5, pp. 53–61, September–October, 1998.

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Rotshtein, A.P., Katel’nikov, D.I. Identification of nonlinear objects by fuzzy knowledge bases. Cybern Syst Anal 34, 676–683 (1998). https://doi.org/10.1007/BF02667040

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  • DOI: https://doi.org/10.1007/BF02667040

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