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JOURNALS // Sistemy i Sredstva Informatiki [Systems and Means of Informatics] // Archive

Sistemy i Sredstva Inform., 2021 Volume 31, Issue 1, Pages 69–81 (Mi ssi750)

This article is cited in 7 papers

Support for solving diagnostic type problems

M. I. Zabezhailoa, A. A. Grushob, N. A. Grushob, E. E. Timoninab

a A. A. Dorodnicyn Computing Center, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 40 Vavilov Str., Moscow 119333, Russian Federation
b Institute of Informatics Problems, Federal Research Center "Computer Sciences and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119133, Russian Federation

Abstract: Some significant features of mathematical methods of data analysis and decision support in diagnostic-type problems are discussed. The most significant characteristic features are considered allowing to distinguish the tasks of the discussed type into a special class. This class requires the simultaneous development of solutions to a number of interrelated problems which, without taking into account such relationships, are practically useless. Using the experience with diagnostic-type tasks, recommendations are made on the areas of development of effective approaches and methods of data mining for solving such applications.

Keywords: artificial intelligence, intelligent data analysis, mathematical methods, diagnostics.

Received: 09.02.2021

DOI: 10.14357/08696527210106



© Steklov Math. Inst. of RAS, 2025