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A Model For Financing the Development of Information Management Systems using Multi-criteria Data Analysis

Finance: Theory and Practice | 2026

Paper Details

Authors: Trundaev I.V.; Gisin V.B.; Timoshenko A.V.; Pankratov V.A.

DOI: 10.26794/2587-5671-2026-30-1-93-102

Journal: Finance: Theory and Practice

Year: 2026

Publisher: Financial University under The Government of Russian Federation

Document Type: Article

Open Access: All Open Access; Gold Open Access

Cited by: 0

Abstract

This study aims to develop a model to determine the optimal financing required for the development of an information control system (ICS). The model will be based on monitoring and dynamically adjusting certain parameters to solve the task. The model will describe the dynamic development of the IMS (information management system) in a situation center using a system of nonlinear differential equations. An original approach to formalizing the process of financing IMS development is presented, accounting for budget planning and compliance with financial milestones. The model provides an analytical and visual representation of the current state of IMS development, useful for operational management purposes.The development process is managed under conditions of uncertainty and incompleteness of data on the readiness of IUS components, including their manufacturing technologies. The effectiveness of a modified “soft computing” method for handling poorly formalized uncertainty is investigated. It has been shown that implementation of “soft management” of financing can reduce the development risks and create a promising decision-making system within budgetary constraints. A mathematical three-dimensional model can be applied to other areas where it is necessary to monitor the state of an object over time. This model is also interesting from the perspective of mathematical control theory, an interdisciplinary tool for developing alternatives to traditional control methods. © Trundaev I.V., Gisin V.B., Timoshenko A.V., Pankratov V.A., 2026.

Keywords

business processes; expert systems; fuzzy control; risk; situational centers