Modeling the optimal decision-making strategy of an organization using mathematical methods

I. V. Zaitseva, O. A. Malafeyev, E. A. Shevchenko, T. A. Svechinskaya, S. I. Lugovskoy

Research output

Abstract

The paper builds and studies a stochastic decision-making model under the influence of both negative and positive factors in a competitive environment. There is a finite set of company states, which is estimated by the value of the firm's capitalization per unit of time. Depending on the decision taken, the company goes into one or another state. In each state, the set of valid strategies depends on this state. The purpose of the simulation is to find the optimal strategy that maximizes the expected capitalization of the company from the transition process to various states, having a finite number of stages.

Original languageEnglish
Article number022035
JournalIOP Conference Series: Earth and Environmental Science
Volume315
Issue number2
DOIs
Publication statusPublished - 23 Aug 2019
EventInternational Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019 - Krasnoyarsk
Duration: 20 Jun 201922 Jun 2019

Fingerprint

numerical method
decision making
modeling
simulation
firm
decision

Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

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title = "Modeling the optimal decision-making strategy of an organization using mathematical methods",
abstract = "The paper builds and studies a stochastic decision-making model under the influence of both negative and positive factors in a competitive environment. There is a finite set of company states, which is estimated by the value of the firm's capitalization per unit of time. Depending on the decision taken, the company goes into one or another state. In each state, the set of valid strategies depends on this state. The purpose of the simulation is to find the optimal strategy that maximizes the expected capitalization of the company from the transition process to various states, having a finite number of stages.",
keywords = "Biotechnology, Environmental engineering, Stochastic models, Stochastic systems",
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AU - Zaitseva, I. V.

AU - Malafeyev, O. A.

AU - Shevchenko, E. A.

AU - Svechinskaya, T. A.

AU - Lugovskoy, S. I.

PY - 2019/8/23

Y1 - 2019/8/23

N2 - The paper builds and studies a stochastic decision-making model under the influence of both negative and positive factors in a competitive environment. There is a finite set of company states, which is estimated by the value of the firm's capitalization per unit of time. Depending on the decision taken, the company goes into one or another state. In each state, the set of valid strategies depends on this state. The purpose of the simulation is to find the optimal strategy that maximizes the expected capitalization of the company from the transition process to various states, having a finite number of stages.

AB - The paper builds and studies a stochastic decision-making model under the influence of both negative and positive factors in a competitive environment. There is a finite set of company states, which is estimated by the value of the firm's capitalization per unit of time. Depending on the decision taken, the company goes into one or another state. In each state, the set of valid strategies depends on this state. The purpose of the simulation is to find the optimal strategy that maximizes the expected capitalization of the company from the transition process to various states, having a finite number of stages.

KW - Biotechnology

KW - Environmental engineering

KW - Stochastic models

KW - Stochastic systems

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M3 - Conference article

AN - SCOPUS:85072822496

VL - 315

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

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