Intellectualization of Measurements on the Basis of Regularizing Bayesian Approach
Abstract
Measurements of the characteristics of complex systems actively interacting with the environment are always accompanied by uncertainty conditions. Such systems include all economic, energy, natural . social, man-made systems. To implement measurements of their parameters, it is necessary to use methods and tools focused on the specifics of the measurement conditions, consisting in the absence of direct measurements for many characteristics, small samples and the uniqueness of the data, the multiplicity and diversity of information flows. In such measurement conditions, it is proposed to use Bayesian intelligent measurements (BIM) based on the use of knowledge as compensation for the lack of data. The Bayesian regularizing approach and special types of scales are used to obtain the measurement result under conditions of uncertainty and to measure the integral indices. These scales are called dynamic constraint scales (DCS). The use of such scales provides regularization of the solution space and stability of the measurement results. DCS scales consist of two conjugate scales for processing numerical and linguistic information. Measurement results can be obtained on one or another scale depending on the type of information. The final measurement result is formed by convolution according to the modified Bayesian formula. BIM algorithms are provided with full metrological support in the form of indicators of accuracy, reliability, dependability of measurement solutions. Examples of BIM application in applied problems, including digital economy problems, as well as in the creation of smart sensors and intelligent measuring networks for various purposes are given.
Short Biography
Dr. Svetlana Prokopchina is a professor of Moscow State University and Financial University of Government of Russian Federation. She is an academician of the International Academy of Informatization, International Academy of Ecology and Life Safety Sciences, International metrological Academy, Russian ecological Academy, International Academy of information processes and technologies. Since 2001 Dr. Prokopchina ia a member of the Board of Directors of 'ROSNEFTEGAZSTROY'. She is a president of the interregional scientific public Association «Scientists for ecology» (since 1992). Dr. Prokopchina is the author of about 250 scientific papers and 11 monographs. Specializes in the field of fundamental and applied works of Measurement Science and Artificial Intelligence. Main directions of scientific researches are Bayesian Intelligent Technologies and Measurement for the creation of monitoring systems, audit, management decision-making, risk management, classification of objects and situations, intelligent geoinformation systems, socio-economic systems in conditions of significant information uncertainty. Dr. Prokopchina S. V. was awarded with state awards, has the gratitude of the Ministry of science and education of the Russian Federation. She is an international expert of the UNECE Energy Commission on information systems, energy and natural resources. Since 1998 she has co-chaired the annual International conference on Soft Computing and Measurement (SCM). Since 2017 Dr. Prokopchina is the editor-in-chief of the scientific journal 'Soft measurements and computing'. Since 1990 she has been managing international and Russian projects on creation of systems for monitoring and management of complex systems, support for management decisions, environmental protection, management of specially protected natural areas, maintenance of inventories of natural resources, as well as information- analytical centers for industrial enterprises, agro-industrial systems, energy systems and networks, oil and gas systems.