The studying is focusing to the problem of extracting knowledge from heterogeneous digital data. An overview of metric characteristics applicable to the comparison of subject areas by formal criteria is given. Methods of artificial intelligence used for the classification of information resources by subject domains and areas of application are presented. Applications are illustrated with mathematical subject domains.

Knowledge base engineering remains an important area of scientific research. The efficiency of this process can be enhanced by an automated analysis of existing domain models in the form of conceptual diagrams of various types. In this paper, we propose an approach that can be used to prototype fuzzy rule-based knowledge bases by transforming conceptual models with fuzzy factors. The proposed approach includes: an extended domain-specific declarative language for describing transformation models (TMRL); a technique for automated analysis and transformation of fuzzy conceptual models in XML-like formats; tools in the form of converters for the Knowledge Base Development System (KBDS) supporting the proposed approach. The approach was tested when creating knowledge bases for solving problems of automation of the industrial safety inspection.

The paper discusses the applicability of non-classical logical calculus to the problem of verification of rule-based knowledge bases. The possibilities of some three-digit, four-digit, and fuzzy logics are considered. It is shown that a good approach to verification is to use logics with vector semantics in the form of VTF-logics. Exper t systems based on them will be able to verify their KB without involving additional (and external to ES) architectural elements.

The paper proposes a method for identifying interdisciplinary connections between scientific organizations, based on the analysis of data from heterogeneous information systems. The data on publications of Siberian institutes in the electronic library eLIBRARY.RU for the last 5 years and the corporate website of the Siberian Branch of the Russian Academy of Sciences “Portal of the SB RAS” www.sbras.ru are used. As a result of research, new areas of research at the intersection of sciences that are being conducted at a number of Siberian institutes have been identified.

The paper considers existing approaches to modeling causalities in socio-economic systems. Methods and forms of causality representation are described. The subjective nature of causality in socio-economic systems is shown, which determines conditions for practical applicability of mathematical models of socio-economic systems to solving management problems in such systems.

Current business environment forces the companies constantly look for new ways to improve the efficiency of its activities, based on the use of information technologies, which are carefully selected, designed and configured for the needs and characteristics of a particular enterprise. Mathematical methods and simulation modelling tools are used to configure project solutions, in which quality can act business process management systems. Modeling results make it possible to distribute functions between business process participants more accurately, as well as to justify the need to implement artificial intelligence technologies at its certain stages. The article offers an approach that allows, basing on business process modeling and problem situations analysis, arising during its execution, to recommend a combination of various information and intelligent technologies that provide better business process performance. The research is carried out with the financial support of RFBR grant №19-08-00937 "Models and methods of intellectual decision making support in software project management realized on manufacturing enterprises".

The article deals with the problem of evaluating the performance indicators of companies in various industries and types of activities. An overview of existing systems of a similar orientation is given to determine the requirements of the system being created. The main components of the company that affect the performance assessment are identified and the tasks that the system will solve are set

The software package “Ecological and mathematical modeling of food production” with special mathematical and algorithmic support is described. A particular ecological and mathematical model of optimizing agricultural production on rainfed and irrigated lands with averaged indicators is presented. Algorithmic support is briefly described. The software package contains a database of time series of industrial, economic, climatic and agricultural pollution and degradation indicators. Information support also includes the “Directory”, which contains regulatory data on soil and water pollution. The user interface is considered. The user interface is considered. Using a software package, an ecological-mathematical model for optimizing agricultural production for one of the enterprises in the Irkutsk region was implemented.

This article discusses the existing methodology to energy security assessment in the Republic of Belarus, the indicative approach to energy security assessment, calculation of energy security integrated indicator of the Republic of Belarus using indicative approach.

A technology for studying the possibilities of constructive solutions on the resulting characteristics of products using the example of mirror segments of a large parabolic antenna is proposed and tested. Power structures for static and dynamic analysis are selected. A list of constructive solutions is determined, the influence of which on the resulting characteristics is of interest, and an appropriate system of numerical models is developed. The novelty of the approach lies in the construction of a multidimensional and multi-level graph-model, which reflects the logic of the relationship of constructive solutions in the development of the object under consideration.

The scientific article is devoted to modeling a single-phase two-level voltage inverter (AIV) with pulse-frequency modulation (PFM). The model is implemented in MATLAB R2019a using blocks from the Simulink/Simscape library. The basic elements of the Simscape library are described. A pulse-frequency modulation (PFM) scheme was developed and modeled using blocks from the Simscape library. The obtained PFM diagrams showed that the frequency in the middle of the PFM period is 3 times higher relative to the edges. The current and voltage diagrams of the active and active-inductive load in the AIV are also obtained.

The article discusses the development of a model that takes into account the dynamics of the operation of the combustion device of the boiler unit. The technique of D.Zh. Box and G. Jenkins to identify the steam production process. As the object of research, a boiler unit was chosen, which is quite complex, since it is a dynamic stochastic object with uncontrolled disturbing influences. A model has been developed by statistical methods that can be used to predict the vacuum in the boiler furnace