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

Authors: А.F. Shorikov; Е.V. Butsenko

Addresses: Institute of Economics of the Ural Branch of the RAS, 29, Моskovskaya Str., Ekaterinburg, 620014, Russia ' Ural State University of Economics, 62/45, 8 Маrta/Narodnoy Voli Str., Ekaterinburg, 620144, Russia

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.

Keywords: 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.

DOI: 10.1504/IJRAM.2021.126426

International Journal of Risk Assessment and Management, 2021 Vol.24 No.2/3/4, pp.196 - 213

Received: 26 Jul 2020
Accepted: 24 May 2021
Published online: 26 Oct 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article