MIL-OSI Russia: How to make decisions in conditions of uncertainty in the transport sector: a report by a research fellow of the State University of Management at a national conference

Translartion. Region: Russians Fedetion –

Source: State University of Management – Official website of the State –

A representative of the State University of Management made a presentation at the Plenary Session of the XXXVIII National (with international participation) scientific and technical conference “Operation and maintenance of automobiles, tractors and engines”.

The conference took place in the city of Pushkin and was dedicated to the 95th anniversary of the founding of the Department of Automobiles, Tractors and Technical Service of the St. Petersburg State Agrarian University.

The plenary session was attended by over 100 people – academicians and corresponding members of the Russian Academy of Sciences, including academician of the Russian Academy of Sciences, director of the Center for Management of Technologies in Bioengineering of the State University of Management Otari Didmanidze, as well as famous scientists, teachers, employees of research and educational organizations and institutions, manufacturers and dealers of agricultural machinery and equipment for the agro-industrial complex and mechanical engineering of the Russian Federation, representatives of government bodies and businesses.

In his scientific report on “Methods of decision-making under uncertainty for applied problems of vehicle operation”, Chief Researcher of the Scientific Research Coordination Department of the State University of Management Alexey Terentyev presented to the scientific community original analytical models for removing uncertainty in complex organizational, economic, technical and social systems. The decision-making methods developed on the basis of these models allow expanding the capabilities of existing correlation and regression methods in terms of their application to conditions when the processes under study do not obey the known stochastic laws of distribution of random variables.

The topic of the report was recognized by the participants of the Plenary Session as relevant, and the developments were widely in demand in practice, since conditions of uncertainty currently accompany any information situations related to the functioning of research objects that are significantly influenced by environmental factors (ranging from AI models for technical objects in various external environments to management models for complex organizational systems at the level of an economic sector or state).

Other reports presented at the plenary session discussed the results of research in the field of agricultural machinery, aimed at improving the technical, economic, environmental, operational performance, technical service and repair of cars, tractors and engines.

Subscribe to the TG channel “Our GUU” Date of publication: 04/01/2025

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