
Keyword: "decisionmaking"
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 realtime computeraided control systems. email: mars@mv.ruA.K. Ivanov,
Aleksandr Leonidovich Savkin, Candidate of Military Sciences, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications and the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, manuals, and articles in the field of the development and modeling of communication control systems, automated information systems. email: mars@mv.ruA.L. Savkin,
Dmitrii Mikhailovich Iastrebov, graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; Deputy Director General and Head of Complex Research and Development Department of FRPC JSC ‘RPA ‘Mars’; research interests are in the field of computeraided design systems and mathematical modeling. email: mars@mv.ruD.M. Iastrebov,
Sergei Sergeevich Shumilov, graduated from the Radioengineering Faclty of Ulyanovsk State Technical University; Chief Designer of FRPC JSC ‘RPA ‘Mars’; research interests are in the field of computeraided design systems and mathematical modeling. email: mars@mv.ruS.S. Shumilov 

Decisionmaking based on the receptorligand interaction methods
The article deals with the mathematical models of decisionmaking in the management organization systems. The models are based on the receptorligand interaction methods studied in the biokinetics. The article describes an interaction between initial data coming to the organization system and knowledge database generated on the basis of operation experience. The combination of matching pairs creates decisions for resolving problems and achieving the goals. The interaction may take one or more stages. For one stage the models were developed in the form of differential equations when the starting amount of data is not equal to the one in knowledge database. When the amounts are equal, the model is represented as Riccati equation in a special form solving by an indefinite coefficient. The article considers cases when information recourses of initial data and the ones of knowledge database are not uniquely defined. The similar models are developed for two stages of interaction. The article gives the examples of calculation of information recourses amount for a decision in case of different ratios of initial data/ knowledge database.
Organization systems, decisionmaking, mathematical models, receptorligand interaction.



Sections: Automated control systems
Subjects: Automated control systems, Mathematical modeling. 
Yury Ivanovich Sineshchuk, Doctor of Sciences in Engineering, Professor; Honored Worker of the Higher School of the Russian Federation; graduated from the Faculty of Combat Information Management Systems of the A.S. Popov Higher Naval Academy of Radio Electronics; Professor of the St. Petersburg University of the MIA of Russia; specializes in the field of information analysis and security, stability of complex systems. email: sinegal@rambler.ru.I. I. Sineshchuk
Tatiana Ivanovna Davydova, Candidate of Sciences in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk State Technical University; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles and monograph in the field of calculations of radio equipment performance reliability. email: tasha_dav@inbox.ruT. I. Davydova 

The technique of substantiating the rational composition of information security tools with constrained resources
Finding the optimal structure of an information security system is an important task complicated by its uncertain, stochastic and nonlinear nature especially, if resources are constrained. The article considers a mathematical model for determining the cost of damage prevented by information security tools, and the cost of their installation and maintenance. The optimization criterion is the minimum cost of the damage prevented. Task variables are the number of different types of security features installed in the security system. The authors propose a methodology to substantiate rational composition of information security tools, taking into account economic constraints.
Decisionmaking, threat to information security, information security system, mathematical model, damage.



Sections: Automated control systems
Subjects: Automated control systems. 
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 realtime computer aided control systems. email: mars@mv.ruA.K. Ivanov
Aleksandr Leonidovich Savkin, Candidate of Military Sciences, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications and the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, manuals, and articles in the field of the development and modeling of communication control systems, automated information systems. email: mars@mv.ruA.L.Savkin
Ilya Vasilyevich Chernyshev, Candidate of Military Sciences; graduated from the Novosibirsk Electronic Technical Institute of Communications; completed his postgraduate studies at the Marshal Budjonny Military Academy of Signal Corps; Associate Professor of the Department in Organizing Airport Activity and Information Technologies of Ulyanovsk Civil Aviation Institute; an author of textbooks and articles in the field of computeraided control systems design, information technologies, and mathematical modeling. email: chernyshev@ulstu.ruI.V. Chernyshev 

The mathematical models of information decisions in operations controls
The article proves the relevance of developing decisionsupport systems that ensure an automation of intellectual activity of operation controls officers. It gives a brief review of scientific researches in terms of psychology of behavior, perception and thinking; and shows the viability of mathematical models for decisionmaking based on the analogue ones in other science and technology domains having a corresponding mathematical apparatus. The authors create the scheme of information decisions made by operation controls, which includes several stages of initial data conversion and gradient distribution of information resources in a onedimensional space of structural units. The complex of mathematical models for information decision making for three stages of conversion and for various modes of initial data entry has been developed. The first model describes the gradient distribution of initial data in the form of a partial differential equation, while converting stages are given as an ordinary differential one. The second model includes the gradient distribution of initial data and subsequently converted data in the space of operating controls. It is represented as a partial differential system. The third and fourth models additionally incorporate convective terms of partial differential equations. The article gives the analytical solutions of all models and the estimated structures of information resources allocation.
Decisionmaking, mathematical models, partial differential equations, ordinary differential equations.



Sections: Mathematical modeling
Subjects: Mathematical modeling. 
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 realtime computeraided control systems. email: mars@mv.ruA. K. Ivanov


The model of informational interaction in the generation of decisions by command units
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 decisionmaker experience. Such interaction encompasses an amount of decision information recourses. The differential model of the secondorder 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 thirdorder 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 decisionmaker who performs a part of operations simultaneously.
Command unit, decisionmaking, mathematical model.



Sections: Automated control systems
Subjects: Automated control systems. 
Nafis Gishkullovich Talipov, Kazan National Research Technical University named after A.N. TupolevKAI, 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. TupolevKAI (KNRTUKAI); an author of scientific works in the field of mathematical modeling, decision support systems, fuzzy methods of rational choice of alternatives. [email: talipovng@gmail.com]N. Talipov,
Aleksei Sergeevich Katasev, Kazan National Research Technical University named after A.N. TupolevKAI, 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 KNRTUKAI; an author of scientific works in the field of mathematical modeling, data mining, decision support systems. [email: Kat_726@mail.ru]A. Katasev,
Sofia Sergeevna Kildeeva, Kazan National Research Technical University named after A.N. TupolevKAI, graduated from the Institute of Computer Technologies and Information Security of the KNRTUKAI; Master Student of the Information Security Systems Department of the KNRTUKAI; an author of scientific works in the field of mathematical modeling. [email: Sofipi@mail.ru]S. Kildeeva,
Dina Vladimirovna Kataseva, Kazan National Research Technical University named after A.N. TupolevKAI, 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 KNRTUKAI; an author of scientific works in the field of mathematical modeling, analysis and forecasting of time series. [email: 415pisarevadv@mail.ru]D. Kataseva


Automation of Tasks Distribution Process in Electronic Document Management Systems Based on Fuzzyproduction Model
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 fuzzyproduct 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 decisionmaking 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.



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 decisionmaking in automated control systems on the basis of subjective representations [email: wgp272ng@mail.ru]G. Vinogradov


Assembling the Model of the Agent With Subjective Rational Behavior Selection in Hightech Industry
The problem of influence of human factor on hightech 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 selforganized 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 decisionmaking 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 decisionmaking process in the production system. Coordination, decisionmaking, active systems, coordinated control, choice model.



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. [email: 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. [email: dora1943@mail.ru]V. Dorovskoy


The Optimization Model of Decisionmaking Fuzzy Processes for Maritime Equipment Diagnostics
The article presents principles of fuzzy processes optimization of decisionmaking for seabed mining equipment diagnostic tests. There were developed models for the optimization of multicriteria problems in decisionmaking 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 repositorybased 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 deepwater control system parameters. Optimization, decisionmaking, diagnostics, minerals, multicriteriality.



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

Combined C2 System for Forces (troops), Weapons and Facilities
The article deals with necessity, aims, problems and suggestions concerning creation and development
of forwardlooking combined computeraided C2 system for differenttype 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, decisionmaker, data processing, control.



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, [email: mars@mv.ru]N. Yaroushkina,
Irina Grigorievna Perfilyeva, [email: mars@mv.ru] I. Perfilyeva,
Andrey Gennadievich Igonin, [email: mars@mv.ru] A. Igonin,
Anton Alexeevich Romanov, [email: mars@mv.ru] A. Romanov,
Tagir Ragatovich Younusov, [email: mars@mv.ru] T. Yunusov,
Valeriia Vadimovna Shishkina, [email: mars@mv.ru] V. Shishkina


Development of Internetservice Integrating Fuzzy Modeling and Analysis of Fuzzy Tendencies of Time Series
The article presents an implementation of a new serviceoriented architecture of a new fuzzymodeling
method. The novelty of the got software in the form of Internetservice consists in the implementation
of a new integral method of fuzzy modeling and analysis of fuzzy tendencies of time series in order to
increase managementdecision 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 integralmethod analysis results in the fact that the error of shortterm forecast precision does not
exceed 20%, the errors of shortterm forecast of fuzzytendency types are equal to 0. Intellectual system, decisionmaking, internetservice, fuzzy modeling, forecast of time series.



Sections: Theoretical issues of automation of command and control processes
Subjects: Artificial intelligence. 
