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Analysis of the error tolerance of stochastic methods to find the most preferred element

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Literature Cited

  1. 1.

    V. M. Voinalovich, O. N. Dum, and K. F. Efetova, “Development of the production program of an enterprise using several criteria with the aid of an interactive procedure,” Upr. Sist. Mash., No. 6, 11–14 (1980).

  2. 2.

    G. S. Pospelov (ed.), Topics of Analysis and Procedures of Decision Making [Russian translation], Mir, Moscow (1976).

  3. 3.

    Yu. M. Ermol'ev and A. I. Yastremskii, Stochastic Models and Methods in Economic Planning [in Russian], Nauka, Moscow (1979).

  4. 4.

    P. C. Fishburn, Utility Theory for Decision Making, Wiley-Interscience (1970).

  5. 5.

    O. I. Larichev and O. A. Polyakov, “Man-machine procedures for solving multicriterial problems,” Ekon. Mat. Metody,16, No. 1, 129–143 (1980).

  6. 6.

    Yu. M. Ermol'ev, Stochastic Programming Methods [in Russian], Nauka, Moscow (1976).

  7. 7.

    M. V. Mikhalevich and L. B. Koshlai, “Bounds and stability conditions for stochastic programming methods and methods to find the most preferred element,” in: 5th All-Union Seminar on Stability Problems of Stochastic Models [in Russian], VNIISI, Moscow (1981), pp. 81–91.

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Translated from Kibernetika, No. 3, pp. 41–48, May–June, 1985.

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Mikhalevich, M.V. Analysis of the error tolerance of stochastic methods to find the most preferred element. Cybern Syst Anal 21, 324–333 (1985). https://doi.org/10.1007/BF01078827

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  • Operating System
  • Artificial Intelligence
  • System Theory
  • Error Tolerance
  • Stochastic Method