An approach to assessing the functioning of hierarchical socio-economic systems and decision-making based on the EFRA software package

Abstract

Modern models and methods for evaluating complex systems are associated with hierarchical socioeconomic systems (HSES) implemented on the basis of software systems (expert systems and decision support systems) and used at the regional and municipal levels of government. As usual, such systems have the functionality of analytics and building scenario variants for the development of research objects. However, they do not give quantified values of the state and impact factors at which the complex system under consideration can come to a given state. At the same time, the question of determining such a set state associated with the construction of standards (expected values) for elements, classes or levels of the HSES is still open. In some cases, to make an informed decision it is sufficient to obtain aggregated quantitative estimates and recommendations concerning the further functioning of the research object. This article presents the author's approach, which allows us to evaluate the functioning of hierarchical socioeconomic systems and provides expert opinions for making management decisions implemented on the basis of the EFRA software package. The algorithm includes stages of analysis and synthesis-stages of the basic method of system analysis. The novelty of the proposed approach is the possibility of taking into account the specific conditions of the status and impact of complex systems that provides an opportunity to build their own standard. Additionally, the procedures of standardization and normalization (reduction to a scale from 0 to 1) make it possible to avoid the influence of different units of measurement of results of operation and economies of scale. On the example of regions of the Central Federal district according to data for 2014-2017, estimates of the use of information and telecommunications technologies by the population were obtained, and the optimization problem was solved for the Tula Region, on the basis of which directions related to increasing the region's readiness for digitalization were proposed.

Multi-Criteria Optimization as the Methodology of Ensuring Sustainable Development of Regions: Tula Region of the Russian Federation

“…In the simplest case, it is possible to optimize particular performance indicators separately, that is, solve problems of linear (if the production functions are linear) and nonlinear programming with constraints. As tools, you can use the "EFRA" software package [50] or the Python [51].…”

Construction of an aggregated production function with implementation based on the example of the regions of the Central Federal District of the Russian Federation

“…In this article, we aim to apply the method for the three-dimensional case when the aggregated production function is determined by a quadratic convolution of three production functions, each of which characterizes the results of the functioning of an element of a three-element subsystem of the SES. Using the example of evaluating the results of the functioning of the project subsystems of the regions of the Central Federal District, we test the hypothesis about the possibility of using the method to refine the parameters of an aggregated production function based on the EFRA software package [26], as well as a software project specially developed in Python.…”