UDC 519.2
DOI: 10.36871/2618-9976.2023.12.004
Authors
Leonid S. Zvyagin,
PhD of Economics, Associate Professor, Associate Professor of the Department of "System Analysis
in Economics" of the Faculty of Information Technology and Big Data Analysis, Financial University
under the Government of the Russian Federation, Moscow, Russia
Abstract
Probabilistic methods are one of the key tools for analyzing and
optimizing the work of information systems in the modern
world. They allow you to analyze and select optimal solutions for
processing control algorithms and ensure an acceptable level of
reliability of the system.
When using probabilistic methods, it is important to take into account
the influence of various factors on the results of the system.
To do this, it is necessary to conduct a comprehensive analysis, which includes an assessment of the probability of malfunctions,
an analysis of the consequences of these malfunctions, as well
as an assessment of the probability of restoring the system after
a malfunction.
Comparison and selection of optimal solutions are also important
steps when using probabilistic methods, this makes it possible
to analyze various variants of control algorithms and choose the
one that will provide the best results at the lowest cost.
Keywords
Probabilistic methods, Information analysis, Data optimization, Information system, Decision algorithm
