Structural modeling in resource allocation management in a regional organizational system using decision-making intellectualization tools

The paper presents the structuring of the regional organizational system and its management at the model level using the results of long-term statistical information for intelligent decision support. The first structural model allows us to assess the nature of the interaction between the control center and the components of the organizational system based on the used arrays of statistical accounting information. Population groups and territorial entities of the region carry out data transfer in the form of time series. The structural model of intelligent decision support by the control center is a component of the structure of the resource distribution management system. For its effective use as a basis for integrating the results of predictive analysis in the process of making management decisions based on optimization modeling, it is proposed to implement two-level intellectualization subsystems. An algorithmic scheme has been developed that provides two-level intellectualization in making management decisions, combining visual and predictive analysis modules for the subsequent use of the results of machine learning of predictive models in expert assessment and optimization modeling.

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