Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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.
в: IOP Conference Series: Earth and Environmental Science , Том 315, № 2, 022035, 23.08.2019.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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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