Authors
Drogobytsky I.
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Degree
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Dr of Economics, Professor, Department of Systems Analysis in Economics, Financial University under the Government of the Russian Federation |
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E-mail
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dinind@mail.ru |
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Location
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Moscow |
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Articles
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Expert diagnostic system using growing pyramidal networks for analyzing the possible pre-crisis state of metallurgical enterprisesThis article describes the construction of an expert-diagnostic system (EDS) for analyzing the precrisis
enterprises state of the metallurgical complex using growing pyramidal networks. The development
took into account the analytical results of the main trends in the metallurgical complex of the
Russian Federation development. The use of growing fuzzy pyramidal networks is justified quite reasonably.
The features of computer technology for obtaining expert opinions are considered. Scheme
for combining MatLab modeling software with an expert diagnostic system in the Caché DBMS is
given. The diagram of the main classes in the expert-diagnostic system is considered. Designing and
developing an expert diagnostic system is a technically complex and time-consuming process, involving
the use of intelligent methods for analyzing weakly structured expert information. Therefore, the
search for solutions that reduce the complexity and complexity of the process of design and practical
development of EDS, is currently one of the priorities of the developers involved in this specific area.
Using a growing fuzzy pyramid network based on various financial and economic indicator's analysis
of an industrial enterprise, it is possible to promptly determine the time to reach the pre-crisis state and
develop further actions with the specified enterprise aimed at overcoming crisis situation.
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