Compensation of the multiplicative error in measuring socio-economic processes

Tools and techniques for studying socio-economic processes that were effective in achieving goals in the past require serious revision and adjustment using modern methods and information technologies. Today, in the process of researching socio-economic processes, the subjectivity of individual authorities without an evidence base prevails. Socio-economic processes are a complex multifunctional mechanism of interaction between many factors of human activity, therefore the human brain is not able to solve many modern problems. Information that circulates in socio-economic processes is characterized by large volumes and high frequency of updates, which requires high speed organization of the procedure for measuring process parameters, system analysis and its storage. Additional tools are required to solve complex socio-economic problems. Therefore, it is necessary to use modern mathematical methods and information technologies for their implementation. When using information to make management decisions, it must have the properties of high reliability, completeness and relevance. The work relates to the field of collecting and processing information intended for analysis, decision-making and process management in socio-economic systems. To collect information and make decisions in socio-economic systems, the method of expert assessment is widely used to build development trends. This method has both advantages (ease of collecting information) and disadvantages (low measurement accuracy). This often leads to incorrect trend construction and, as a result, incorrect decision-making when managing socio-economic processes. To eliminate this shortcoming, the work proposes a way to increase the accuracy of measuring the socio-economic process based on expert assessment. A mathematical model and algorithm for compensating the multiplicative measurement error have been developed. A methodology for collecting information about the socio-economic process based on expert assessment is proposed. A device has been developed that allows processing the received information and increasing the accuracy of the measurement process. Research has been carried out on the operation of a device for increasing the accuracy of expert assessment measurement results using modeling based on the Mathcad computer mathematics system.