N.N. Fedorov1, A.Z. Zakharov2, S.V. Matseevich3, N.A. Arkhipova4

1 JSC «Scientific and Production Association of long-range radar named after academician A.L. Mints» (Moscow, Russia)
2, 3 Financial University under the Government of the Russian Federation (Moscow, Russia)
4 Federal State Budgetary Educational Institution of Higher Education «MIREA – Russian Technological University» (Moscow, Russia)
1 nifedorov@npodr.ru, 2 zakharov.as17@physics.msu.ru, 3 cvmac@mail.ru, 4 arkhipova_n@mirea.ru

The relevance of the study stems from the need to develop a method for supporting operator decision-making based on recommendations when resolving emergency situations. The development of the algorithm necessitated the development of a model for determining the similarity of emergency situations based on a method for calculating distances in parameter space. The aim of the study is to develop a method for recommending solutions to an operator using an intelligent decision support system in an emergency situation based on a model of the similarity of the current state with known precedents. As a result of the work, a model for identifying abnormal situations based on similarity to precedents was formalized. It was proposed to identify abnormal situations by a state vector, that is, the readings of system parameters. The distance between the current state and precedents in the system parameter space was proposed as a metric for similarity between them. The presented model enables the development of a decision support system for operators in emergency or abnormal situations. The results obtained can be used in the integrated decision support system (IDSS) to recommend decisions to decision makers during emergencies.

Fedorov N.N., Zakharov A.Z., Matseevich S.V., Arkhipova N.A. The methodology of forming recommendations for operator of the situation center in case of an emergency situation of changes in the level of energy consumption based on determination of similarity with precedents. Neurocomputers. 2025. V. 27. № 6. P. 50−56. DOI: 10.18127/j19997493-202506-05 (in Russian).

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