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Modeling the optimal decision-making strategy of an organization using mathematical methods. / Zaitseva, I. V.; Malafeyev, O. A.; Shevchenko, E. A.; Svechinskaya, T. A.; Lugovskoy, S. I.

In: IOP Conference Series: Earth and Environmental Science , Vol. 315, No. 2, 022035, 23.08.2019.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Zaitseva, IV, Malafeyev, OA, Shevchenko, EA, Svechinskaya, TA & Lugovskoy, SI 2019, 'Modeling the optimal decision-making strategy of an organization using mathematical methods', IOP Conference Series: Earth and Environmental Science , vol. 315, no. 2, 022035. https://doi.org/10.1088/1755-1315/315/2/022035

APA

Zaitseva, I. V., Malafeyev, O. A., Shevchenko, E. A., Svechinskaya, T. A., & Lugovskoy, S. I. (2019). Modeling the optimal decision-making strategy of an organization using mathematical methods. IOP Conference Series: Earth and Environmental Science , 315(2), [022035]. https://doi.org/10.1088/1755-1315/315/2/022035

Vancouver

Zaitseva IV, Malafeyev OA, Shevchenko EA, Svechinskaya TA, Lugovskoy SI. Modeling the optimal decision-making strategy of an organization using mathematical methods. IOP Conference Series: Earth and Environmental Science . 2019 Aug 23;315(2). 022035. https://doi.org/10.1088/1755-1315/315/2/022035

Author

Zaitseva, I. V. ; Malafeyev, O. A. ; Shevchenko, E. A. ; Svechinskaya, T. A. ; Lugovskoy, S. I. / Modeling the optimal decision-making strategy of an organization using mathematical methods. In: IOP Conference Series: Earth and Environmental Science . 2019 ; Vol. 315, No. 2.

BibTeX

@article{27197e740a844e189e995b559b979091,
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",
author = "Zaitseva, {I. V.} and Malafeyev, {O. A.} and Shevchenko, {E. A.} and Svechinskaya, {T. A.} and Lugovskoy, {S. I.}",
year = "2019",
month = aug,
day = "23",
doi = "10.1088/1755-1315/315/2/022035",
language = "English",
volume = "315",
journal = "IOP Conference Series: Earth and Environmental Science",
issn = "1755-1307",
publisher = "IOP Publishing Ltd.",
number = "2",
note = "International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019 ; Conference date: 20-06-2019 Through 22-06-2019",

}

RIS

TY - JOUR

T1 - Modeling the optimal decision-making strategy of an organization using mathematical methods

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

UR - http://www.scopus.com/inward/record.url?scp=85072822496&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/315/2/022035

DO - 10.1088/1755-1315/315/2/022035

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

IS - 2

M1 - 022035

T2 - International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019

Y2 - 20 June 2019 through 22 June 2019

ER -

ID: 48768896