UDC 53.08: 004.89
DOI: 10.36871/2618-9976.2022.11.001
Authors
Svetlana V. Prokopchina
Professor, Doctor of Technical Sciences, Financial University under the Government
of the Russian Federation, Moscow, Russia
Abstract
The broad digitalization of the company's activities is focused on
solving complex tasks of monitoring and managing production
and socioeconomic
systems. The functioning of such systems
takes place in conditions of significant uncertainty of information,
active and unpredictable influence of the external environment,
dynamism of situations.Therefore, for the effective implementation of digitalization systems, special methodologies,
technologies and systems focused on such situations are required.
First of all, this concerns methods and means of obtaining
measurement information.
The article discusses a new direction of modern measurement
theory, which has been called intelligent measurements. A comparison
of classical and intellectual measurement methodologies
is given. It is shown that classical measurements are a special case
of intelligent measurements. The advantages of using this type
of measurement are indicated both for the theory and practice
of measurements, and for solving problems of artificial intelligence.
Examples of the use of Bayesian measurement methodology, technology
and practice for solving various applied problems are given.
Keywords
Intelligent measurements, Bayesian approach, Digitalization
