Abstract
The article describes the management model of complex socioeconomic systems, based on the synthesis of information that characterizes economic systems. To summarize the information, it is proposed to use the Rasch model for estimating latent variables. The management structure of complex economic systems is considered on the basis of generalization of system indicators according to the Rasch model. The mathematical basis for solving the problem is described, including taking into account the importance of the criteria. The case is considered when the values of indicators of the economic system are obtained from a variety of information sources. The results of computational experiments are presented, which allow analyzing the main properties of estimates of generalized indicators of economic systems. Computational experiments have shown that estimates of generalized indicators of objects are measured on a linear scale, are highly accurate and resistant to changes in the source data.
Highlights
In modern economic conditions, the forms of economic activity are changing at an everincreasing pace
To solve the problem of generalization of indicator indicators of complex socio-economic systems, the Rasch model for estimating latent variables [5,6,7] is most effective, allowing a large sample of observed economic indicators to be collapsed within the framework of a generalized indicator reflecting the properties of the controlled object
The paper substantiates the application of the Rush model for estimating latent variables to the tasks of managing socio-economic systems
Summary
The forms of economic activity are changing at an everincreasing pace. To build a viable management system, it is often necessary to develop a generalized model that integrates information in order to make decisions on the management of the socio-economic system. The problem of generalizing a large group of economic indicators to some integral indicator remains unsolved, which would make it possible to reduce the dimension of the data used and make them more convenient for analysis. The aim of the work is to build a management model for complex socio-economic systems based on a synthesis of indicator indicators characterizing the system
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