Development of conditional optimization models taking into account weighting factors of relative importance

DOI: 10.21293/1818-0442-2024-27-3-100-108

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Abstract: The article examines the possibilities of generative textual artiicial intelligence to determine the weighting coefficients of the relative importance of features. For the first time, the modification of conditional optimization models was performed in order to take into account the weighting coefficients of relative importance obtained on the basis of the randomization model.

Keywords: text generative artificial intelligence, weighting factors, optimi-zation model, conditional optimization, ChatGPT

For citation:
Gribanova E. B., Leonov D. V. Development of conditional optimization models taking into account weighting factors of relative importance. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2024, vol. 27, no. 3, pp. 100–108. DOI: 10.21293/1818-0442-2024-27-3-100-108

Authors and copyright holders:

  • Gribanova E. B. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
  • Leonov D. V. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)

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