ISSN 1991-2927
 

ACP № 3 (61) 2020

Keyword: "decision-making"

/table>

Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate studies at Bauman Moscow Technical School, doctoral studies at Ulyanovsk State Technical University, Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, tutorial, articles in the field of the mathematical modeling of hierarchical real-time computer-aided control systems. e-mail: mars@mv.ruA. K. Ivanov

The model of informational interaction in the generation of decisions by command units60_1.pdf

The article describes the process of decision generation performed by the operations staff of a command unit as an interaction of three types of information resources, i.e. raw situation information, incoming to the system of control; information resources of knowledge base of the system; and information resources of the decision-maker experience. Such interaction encompasses an amount of decision information recourses. The differential model of the second-order reaction is suggested as a mathematical model of interaction similarly to a chemical reaction, if two types of information resources are considered; and the differential model of the third-order reaction, if all types of information resources are considered. The method of undetermined coefficients was used to find the analytical solutions of relation between the reaction rate constant and time, volume of interacting resources, and volume of solution results. An interaction mechanism was developed to provide review of the whole information space and selecting of the most promising combinations comprising the final result. Based on this mechanism two methods of finding a solution were described as follows: a slow one that sorts out all combinations in a sequential order, or a quick creative one based on the intuition of a decision-maker who performs a part of operations simultaneously.

Command unit, decision-making, mathematical model.

2020_ 2

Sections: Automated control systems

Subjects: Automated control systems.

Nafis Gishkullovich Talipov, Kazan National Research Technical University named after A.N. Tupolev-KAI, Candidate of Science in Engineering; graduated from the Pacific Higher Naval School named after S.O. Makarov; Associate Professor of the Information Security Systems Department of the Kazan National Research Technical University named after A.N. Tupolev-KAI (KNRTU-KAI); an author of scientific works in the field of mathematical modeling, decision support systems, fuzzy methods of rational choice of alternatives. [e-mail: talipovng@gmail.com]N. Talipov,

Aleksei Sergeevich Katasev, Kazan National Research Technical University named after A.N. Tupolev-KAI, Candidate of Science in Engineering; graduated from the Faculty of Physics and Mathematics of Elabuga State Pedagogical Institute; Associate Professor of the Information Security Systems Department of the KNRTU-KAI; an author of scientific works in the field of mathematical modeling, data mining, decision support systems. [e-mail: Kat_726@mail.ru]A. Katasev,

Sofia Sergeevna Kildeeva, Kazan National Research Technical University named after A.N. Tupolev-KAI, graduated from the Institute of Computer Technologies and Information Security of the KNRTU-KAI; Master Student of the Information Security Systems Department of the KNRTU-KAI; an author of scientific works in the field of mathematical modeling. [e-mail: Sofi-pi@mail.ru]S. Kildeeva,

Dina Vladimirovna Kataseva, Kazan National Research Technical University named after A.N. Tupolev-KAI, graduated from the Faculty of Enterprise Economics of the Kazan State Financial and Economic Institute; Senior Lecturer of the Information Security Systems Department of the KNRTU-KAI; an author of scientific works in the field of mathematical modeling, analysis and forecasting of time series. [e-mail: 415pisarevadv@mail.ru]D. Kataseva

Automation of Tasks Distribution Process in Electronic Document Management Systems Based on Fuzzy-production Model 53_6.pdf

This article solves the problem of tasks distribution to performers in electronic document management systems. A fuzzy product model is being developed to solve this problem. Its construction required fuzzy-product rules type choice, their construction methodology development, an output on rules algorithm, as well as methods for membership functions constructing and fuzzy rules reliability determining. On the basis of the proposed methods and algorithms, a software package was developed, that supports decision-making in task performer’s choice. The software package structure, the developed model adequacy experiments results, as well as its practical use results are presented.

Electronic document management, task distribution, fuzzy product model, software complex, decision making.

2018_ 3

Sections: Information systems

Subjects: Information systems.


Gennadii Petrovich Vinogradov, Tver State Technical University, Doctor of Engineering, Professor at the Department of Information Technologies and Applied Mathematics of Tver State Technical University; an author of more than 200 articles in the field of theory, methods, and algorithms of decision-making in automated control systems on the basis of subjective representations [e-mail: wgp272ng@mail.ru]G. Vinogradov

Assembling the Model of the Agent With Subjective Rational Behavior Selection in High-tech Industry 000_14.pdf

The problem of influence of human factor on high-tech industry effectiveness is considered in the article. The problem heart lies in human ability to choose the behavior model that meets his interests and answers his goals. Thus, the development of assemble procedures of behavior model of active, creative, and self-organized agents is quite urgent. The center needs this model to evaluate (maybe even crudely) control action activity before the fact of influencing because the center (as the agent itself) has its own internal rating of either itself or the interacting party. Thereby, the agent behavior model allows the center to control the process of the agent decision-making and to determine his behavior this way. In this case, the center control system should consist of at least two parts: motivational and informational (training or coaching) ones. Their goal is to determine the agent behavior by creating the notion model of the choice situation components. That can help the center to predict the agent decision-making process in the production system.

Coordination, decision-making, active systems, coordinated control, choice model.

2015_ 2

Sections: Mathematical modeling

Subjects: Mathematical modeling, Automated control systems, Artificial intelligence.


Sergey Grigorevich Cherny, Kerch State Marine Technological University, Candidate of Engineering; graduated from Kherson National Technical University; Assistant Professor at the Department of Electrical Equipment of Ships and Industrial Automation of Kerch State Marine Technological University; an author of publications in the field of expert systems. [e-mail: sergiiblack@gmail.com]S. Cherny,

Vladimir Alekseevich Dorovskoy, Kerch State Marine Technological University, Doctor of Engineering; graduated from Kryvyi Rih Mining University; Professor at the Department of Electrical Equipment of Ships and Industrial Automation of Kerch State Marine Technological University; an author of more than 100 articles and 5 monographs. [e-mail: dora1943@mail.ru]V. Dorovskoy

The Optimization Model of Decision-making Fuzzy Processes for Maritime Equipment Diagnostics 37_11.pdf

The article presents principles of fuzzy processes optimization of decision-making for sea-bed mining equipment diagnostic tests. There were developed models for the optimization of multicriteria problems in decision-making with fuzzy objectives which are described by means of the following elements: set of admissible alternates, set of all possible results, alternative evaluation, a criterion function, establishing the connection with alternatives and their evaluations, membership functions. Some rules for the uniform management of all metadata on data sources, target schemas, manipulation, scripts, etc. are provided, that use repository-based database management systems. The integrated data of procedure analysis are demonstrated by the example of the data tables. The model of indicators and factors in the form of a visualized way projected in the Curve Fitting Toolbox is represented. Methods for the isolation of particular criteria of individual subsystems that allow to consider, with the necessary level of detail, the nature of linkages and interactions of the individual parameters of detail, the nature of correlations and interactions of the individual complex deep-water control system parameters.

Optimization, decision-making, diagnostics, minerals, multicriteriality.

2014_ 3

Sections: Artificial intelligence

Subjects: Artificial intelligence, Architecture of ship's system.


Anatoly Alexanderovich Kupriyanov, [e-mail: mars@mv.ru]A. Kupriyanov

Combined C2 System for Forces (troops), Weapons and Facilities 20_12.pdf

The article deals with necessity, aims, problems and suggestions concerning creation and development of forward-looking combined computer-aided C2 system for different-type and heterogeneous groups of forces (troops), weapons and facilities having new functional, technical and operational features and characteristics. The article stresses technical and functional requirements, technological and organizational aspects of creation and operation of combined C2 systems including analysis of key technologies required for the creation of combined C2 systems. The issues of operational creation and use of combined C2 systems are not discussed in the article.

Interaction, officer, intellectualization, informatization, combined c2 system, decision-maker, data processing, control.

2010_ 2

Sections: Integrated c2 system: methodology for creation of systems, information technology, facilities and components

Subjects: Automated control systems, Architecture of ship's system.


Nadezhda Glebovna Yarushkina, [e-mail: mars@mv.ru]N. Yaroushkina,

Irina Grigorievna Perfilyeva, [e-mail: mars@mv.ru] I. Perfilyeva,

Andrey Gennadievich Igonin, [e-mail: mars@mv.ru] A. Igonin,

Anton Alexeevich Romanov, [e-mail: mars@mv.ru] A. Romanov,

Tagir Ragatovich Younusov, [e-mail: mars@mv.ru] T. Yunusov,

Valeriia Vadimovna Shishkina, [e-mail: mars@mv.ru] V. Shishkina

Development of Internet-service Integrating Fuzzy Modeling and Analysis of Fuzzy Tendencies of Time Series 20_10.pdf

The article presents an implementation of a new service-oriented architecture of a new fuzzy-modeling method. The novelty of the got software in the form of Internet-service consists in the implementation of a new integral method of fuzzy modeling and analysis of fuzzy tendencies of time series in order to increase management-decision efficiency as well as in the accounting of new management requirements for reduction of costs concerning maintenance, operation and update/upgrade of software and hardware. The integral-method analysis results in the fact that the error of short-term forecast precision does not exceed 20%, the errors of short-term forecast of fuzzy-tendency types are equal to 0.

Intellectual system, decision-making, internet-service, fuzzy modeling, forecast of time series.

2010_ 2

Sections: Theoretical issues of automation of command and control processes

Subjects: Artificial intelligence.


© FRPC JSC 'RPA 'Mars', 2009-2018 The web-site runs on Joomla!