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Computer intelligent software system for optimisation of adaptive management of investment design based on deterministic and stochastic network formalisation Full article

Journal International Journal of Risk Assessment and Management
ISSN: 1741-5241 , E-ISSN: 1466-8297
Output data Year: 2021, Volume: 24, Number: 2/3/4, Pages: 196-213 Pages count : 18 DOI: 10.1504/ijram.2021.126426
Tags software intelligent system; optimising adaptive management; investment projecting; economic and mathematical model; network methods of planning and management; investment optimisation; control strategy; schedule; risks; entropy; probability
Authors Shorikov A.F. 1 , Butsenko E.V. 2
Affiliations
1 Institute of Economics of the Ural Branch of the RAS
2 ФГБОУ ВО "Уральский государственный экономический университет"

Funding (1)

1 Министерство науки и высшего образования РФ 0327-2021-0008

Abstract: The paper discusses the development and creation of an intelligent computer system for optimising the control of investment projecting processes under conditions of uncertainty. This system is designed to automate the modelling of investment projecting processes and optimise the adaptive control of decision-making in their implementation based on network economic and mathematical modelling, as well as methods and tools for the development of intelligent software systems. The basis of the system is the use of a new method of network formalisation and optimisation of adaptive project control in the form of an appropriate methodology for solving the investment projecting problems under consideration. The proposed method also contains a part that implements a neural network stochastic model of adaptive control in the presence of risks. The paper describes the main blocks of the developed intelligent computer software system, its capabilities and presents the results of evaluating the effectiveness of its application.
Cite: Shorikov A.F. , Butsenko E.V.
Computer intelligent software system for optimisation of adaptive management of investment design based on deterministic and stochastic network formalisation
International Journal of Risk Assessment and Management. 2021. V.24. N2/3/4. P.196-213. DOI: 10.1504/ijram.2021.126426 Scopus OpenAlex
Dates:
Submitted: Nov 20, 2021
Accepted: Feb 20, 2022
Published print: Jul 20, 2022
Identifiers:
Scopus: 2-s2.0-85142695477
OpenAlex: W4312459418
Citing: Пока нет цитирований
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