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Authors

Emelyanov A.

Degree
Dr of Economy, Professor, National Research University MPEI
E-mail
edit@s-university.ru
Location
Moscow
Articles

III International Conference on Technology Supported Learning & Training «MOSCOW Education Online 2009»: from extreme training method to an ordered system

On 27-29 September 2009 the Moscow President Hotel hosted another conference of the World «ONLINE EDUCA» system. Since 2007, the event is held in Moscow, and an international conference «MOSCOW Education Online» has become a landmark event in the life of the educational community that attracts annually the attention of leading experts and professionals in distance and electronic education. The leitmotif of the last forum was the need to move e-learning from extreme training method to an ordered system with appropriate legal and methodological support.

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«Safe Internet — is it really possible?» round table

On September, 29th, 2009 in Moscow round table «Safe Internet — is it really possible?» was concluded as part of VI International specialized exhibition-conference on infor¬mational safety «InfoSecurity Moscow — 2009». The experts representing Russian companies «Aladdin», «Positive Technologies)), «Kaspersky's Laboratory)) and «Soft-faks» have taken part in meeting and have told about various threats, trapping Internet users, and also ways of protection against these threats.

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Stochastic network queuing theory models

Communication systems developing and services networking contributed to operations research progress in two ways. From one hand a number of economic processes simulation systems (e.g., Actor Pilgrim) appeared. From another hand queuing theory models and techniques were elaborated. The article deals with stochastic models of queuing networks.

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All-Russian scientifically-practical conference ((Competition Development in the Market of Information Technologies))

Russian Information technologies market trends recognizing, highly competitive specialists training, network economy and electronic commerce establishing are the crucial points for the contemporary Russian IT market mature. The primary goal of ((Competition Development in the Market of Information Technologies» conference was to set an environment for IT experts, authorities, business and academic community cooperation to speed up the progress.
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Scientifically-practical conference (Information system of innovaitive HIGH School)

Commentary 
The article is a summary of the conference «Information systems for innovative higher education institutions — 2009». The conference was arranged by I. T. Company jointly with Microsoft Corporation and The Academy of National Economy under the Government of the Russian Federation. The most significant reports and the exhibited innovative solutions for colleges are highlighted.
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Becoming of computer and informational specialities in high schools of Russia

To the 82th anniversary ofK. Kurbakov
 Development of computer specialities in our country would be to impossible without scientists-enthusiasts involvement. Professor K. Kurbakovisthe head of large scientific school in the field of education, and first of all in the field of computer science. Has wide experience of organizing, scientific and pedagogical high school operation. He is one of the first developers of educational programs in the field of intelligence systems.
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The ideologists of domestic developments in the field of the automated control systems

The history of development and creation of the automated intelligence systems in our country is linked to names of some known scientists. These scientists worked at different levels of the government and posts. We shall not compare with their contribution to development of the automated control systems. And simply we shall assist the reader to get acquainted with the scientists standing for sources of automated control in 20 century.
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International Scientific Congress on Business Role in the Transformation of Russian Society

International Scientific Congress on Business Role in the Transformation of Russian Society was held on 13-17 April 2009 in Moscow University of Industry and Finance. The leading Russian experts and economists were among the congress participants and nearly 480 reports were made. Two Computer Science workshops were introduced by the Information systems and technologies faculty and the Programming faculty during the forum.
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Choosing a Location for University Branch: Model and Logistic Analysis Approach

Model and logistic method is applied to find the suitable university branch allocation. Economical and mathematical methods are used and economic geography and demography factors are put into consideration to provide the most informative output. The method proposed compliments obtained market survey data with expected students and university expenses values. Actor Pilgrim simulation system was used to implement associated computer models.
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Scientific and technical information as a basis for innovation development

On the 75th anniversary of V. Volkova This article is devoted to 75th anniversary of a member of the Editorial Board of «Applied Informatics» Violetta Nikolaevna Volkova. V. Volkova — candidate of techical sciences, doctor of economic sciences, professor, honored worker of higher school of the Russian Federation. The author of several monographs, textbooks and teaching aids in systems theory, a permanent author and editor of the first reference book «Applied Informatics». Made a significant contribution to the development of information theory, developed and teaches a number of original training courses. Actively involved in the development of federal education standards in informatics.

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Software lag-generators for simulation of risk situations in Actor Pilgrim Simulation System

The paper presents high-precision software techniques for random distributions number generating. Generally the generators are embedded in simulation systems used to analyze the processes occurring in risk environment. Some of the tools are introduced for the first time.

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National Simulation Society: A Conversation with President Rafael Yusupov

simulation solutions in science, engineering and technology, decision support systems and risk management. The legal form of the society is a nonprofit partnership. The established society goals meet the needs of various economy sectors bodies.

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The 4th all-Russian scientific and practical conference "Simulation. Theory and Practice"

Traditional scientific and practical conference "Simulation. Theory and practice" (held in Russia since 2003). Last conference was held in St. Peters¬burg, in the House of Scientists on the Palace Embankment. Simulation as a research methodology is becoming increasingly popular. This is confirmed by large number of participants of IMMOD-2009 (to¬tal 231). Read more...

Economic dynamics simulation

Simulation models of economic processes belong to hard to formalize models. There are a lot of reasons for this. For example, economic processes apart from temporary dynamics possess properties of financial and space dynamics. This article considers the program-methodical tools for elimination of problems, arising by simulation. Actor simulation is a possible problem solution by means of its specific features.

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The 1st Student Competition in Oracle DBMS Held by the Moscow Power Engineering Institute as the First Step in Successful Career Building

The Competition was initiated by the Moscow Power Engineering Institute (Technical University) in cooperation with Oracle and held under the aegis of the Russian Ministry of Education and Science. The decision to hold the competition was made after the most pressing applications-related issues and the most wanted technology characteristics had been comprehensively analyzed. They are a helping hand in the students' job seeking process.
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Customer Service Process Simulations

The article describes the main aspects of the modern mathematical system used to examine the standard customer service systems. They can be of interest to businessmen and top management of companies. The company management can use the simulations as a tool to support the decision making process in the process management and resource management. The article is abundant in examples and methodological tips.
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Moscow Education Online 2011

Themes of the event cover a wide range of advanced technologies development and management decisions in the fields of e-learning, open and distance education. The conference was attended by leading Russian and foreign e-learning experts as well as major software vendors and developers of software and hardware solutions.

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Fifth All-Russian scientific-practical conference on simulation IMMOD 2011

The conference was held on October 19 – 21 in the A. M. Gorky House of Scholars in St. Petersburg. Among the principle tasks were the development and generalization of the theory and simulation models qualimetry, experience exchanging, research results and practical applications discussions, introducing the latest automation and visualization tools, dissemination of theory and practice teaching experience.

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Simulating investment processes

A method for investment processes analysis based on system approach is discussed. We analyze the dynamics of mutual investor and investment object influences. A decision-making supporting tool is composed of collaborative simulation and analytical models which in conjunction with application methods and techniques form the virtual modeling workbench. To illustrate the method an investment process associated with the municipal land use is considered. Read more...

Modeling publishing processes in scientific periodicals

The paper deals with structuring of the scientific periodicals production processes. On the basis of scientific journal specifics, the main production stages, stakeholders, resource usage and business rules the structural functional model and information models as well as the concepts of automating the editorial and publishing processes are proposed.
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Concepts and features of actor-oriented simulation system «Actor Pilgrim»

In the abstract modeling of social, economic and competitive, political, military and legal processes and in other areas where there is some difficulty with the use of formal models, actors as well as the theory of actor networks are being used. Recently, the actor approach was applied by the author for developing a new paradigm of simulation, which is shown in this paper. Its implementation required the creation of a new system simulation, including the system structure analysis, simulation models prototyping and creation. The paper presents its concepts and features.
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Concepts and features of actor-oriented simulation system «Actor Pilgrim»

In the abstract modeling of social, economic and competitive, political, military and legal processes and in other areas where there is some difficulty with the use of formal models, actors as well as the theory of actor networks are being used. Recently, the actor approach was applied by the author for developing a new paradigm of simulation, which is shown in this paper. Its implementation required the creation of a new system simulation, including the system structure analysis, simulation models prototyping and creation. The paper presents its concepts and features.
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Designing extreme experiments based on simulation models

An extreme experiment design methods based both on fullscale models and physical and mathematical models of technological, physical and chemical processes are widely used in industrial environment. However, they are rarely used by mathematical economists while formulating experiments based on economic processes simulations. The reason for it is a time passed since the simulation methodology has been adapted to economics which is too small compared to other application areas.
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The technology of working with topographic information in Actor Pilgrim simulation models

The completeness and accuracy of the information content obtained by means of topographic maps, allow to solve a variety of regional economic, technical and environmental objectives and the civil protection tasks. System analysis of the rapidly changing situation in the solution of such problems requires to use powerful simulation tools. One such tool is a general-purpose simulation system Actor Pilgrim, which, unlike the other is uniquely modeling the financial and economic processes, and it does not need to acquire specialized geographic information systems. Technological properties of the GIS software modeling system presented in this article.
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Simulation technology and model management in «Actor Pilgrim» system

The paper presents the concepts and methodological basics of design, building and application of simulation models in the environment of Actor Pilgrim simulation system. The key features of the system compared to its earlier version are discussed as well as system capabilities to meet the challenges of managing complex economic processes, training and research tasks. The methods and techniques of practical work on the creation of and running the models using the system Actor Pilgrim are considered.

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Identify points to belong to objects in simulations territories by means of Actor Pilgrim

The complex processes simulation, some dynamic characteristics of which are necessary to test not only in time but also in space, it is impossible without the use of topographical information pro‑ viding models and precise positioning of all test points to complex spatial objects on the Earth’s sur‑ face. The easiest task, which is solved by using computational geometry methods, is the definition of the object area. However, recognition of the items appearing in the modeling process belong to the list of these objects — is a dynamic task for which solving there are no universal methods. Below we consider some of such problems solutions.
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Simulation modeling of chemical kinetics controlled processes

Emergencies that sometimes arise in the chemical industry (for example, in Sivezo and Bhopal), which caused the human casualties and pollution of the environment, cause the introduction of increased requirements for the qualification of Chemical Engineers. The methodology of designing chemical reactors should include the monitoring and analysis of security. Therefore, the process design of chemical reactors consists not only of perform calculations, drawing creation and writing technical documentation of the reactor. Construction of the reactors is not possible without creating process models and simulators for personnel, taking into account risk situations. Thus, when constructing the reactor are required: chemical kinetic model that can be represented by means of differential equations, and model of discrete control system, which, as a rule, can’t be described by differential equations. Therefore there is a need for a comprehensive discrete-continuous computer models. V. V. Kafarov was one of the world’s greatest scientists, who created a powerful scientific impetus for the development of chemical cybernetics. His works became the foundation for further research in our country and abroad. The unified method of discrete-continuous simulation applied for controlled chemical reactions is considered in this paper. Simulation model includes two components: the continuous and discrete components. Continuous component performs modeling of chemical kinetics. Discrete components is used to simulate and optimize the system control of the reactor. Matrix of tuples is used for easy selection optimal conditions of the reactor operating. Optimization is performed by varying two parameters: the reaction temperature and pressure in the reactor.
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Production programs optimization based on the simulation results

Develop and implement programs of industrial production is a step by step procedure perform one or more processes. Demand program is executed on the basis of both the actual statistical data and simulation results. Modeling is necessary due to the fact that not all the parameters of governmental processes are known with a satisfactory level of significance. It uses various methods of modeling. Most process design engineers are not able to create a mathematical model for the process analysis. In such cases, combined models are used: a simulation model of discrete control systems engineers is used, and the physical, chemical and other create products processes are represented by analytical mathematical model. Both are components of a complex model, and performed in the same virtual time. As a result of simulation obtained all the missing process parameters are measured their confidence intervals. Next, engineers must choose the optimization method for the production program created, and can two opposite situation. First: the response surface obtained in the simulation can be approximated with reasonable certainty by means of linear or nonlinear mathematical form. Then, it is theoretically possible to use linear programming, nonlinear programming and gradient methods. Second: the response surface did not found in the simulation. However, there are simulation results that can be used to produce versions of the program. In this case remains one method available: dynamic programming. This article describes the combined using of simulation and dynamic programming to optimize production programs.
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Simulation of the process developing MIS and supporting its working capacity

The objectives of the company, including the improving the quality of processes and products, changes in the internal and external environment — these are the main reasons for the continuous modernization of automation with the aim of enhancing the efficiency, automate processes throughout the enterprise. Vitality — is an opportunity to realize the goal of management information system (MIS) operation in cases of adverse effects. Mechanisms to ensure vitality while can be very diverse. For example, it can be generated the new information process, which implements the purpose of the information system. Such an opportunity will characterize the information system the possession of properties vitality. Some mechanisms of adaptation, compensation, recognition, reconstruction, reconfiguration and reengineering are the technological basis of the dynamic functional MIS-system reorganizations. Obviously, vitality information system may, on the one hand, be considered as its objective property that depends on the subject, audience, time, and on the other hand — as a characteristic that they want to give it in the case of artificial formation, such as during the information operations. At every stage of the life cycle the MIS-system its corresponding version is used. The new versions bring new defects in the system in addition to the positive properties. Evolution is the process of structural and functional changes during its life cycle at the system. This article deals with the evolution model of the management information system in presence of defects, diagnose and extract them. Modelling of developing information management system and supporting of its working ability is an actual problem to be solving.
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On the 60th anniversary of Yury B. Rubin

The publication is dedicated to the 60th anniversary of professor Yuri B. Rubin, the famous Russian scientist, Rector of Moscow University of Industry and Finance «Synergy» and co-chairman of editorial board of our edition entitled «The Journal of Applied Informatics». Professor Yuri B. Rubin is a Doctor of Economics, Corresponding member of Russian Academy of Education, Rector of Synergy University, Head of Theory and Competition Practice Chair. He is a Winner of the Russian Federation Government Prize in Education, Honorary Worker of Higher Professional Education of the Russian Federation, Member of the International Higher Education Academy of Sciences; Member of Directors Board in the European Foundation for Quality Assurance «E-learning», Honored Worker of the Russian Federation — the Higher School. Yuri B. Rubin was among the initiators of new professions and academic disciplines such as «Applied Informatics» and «Software and administration of information systems». He is a main founder of «The Journal of Applied Informatics» which is published thanks to his support. All his colleagues and the editorial board congratulate Professor Yuri B. Rubin on the 60th anniversary and wish him all the best!
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Synergy and evolution of information systems in holding management

Qualitative and quantitative analysis of functional parameters, performance properties and survivability in distributed multi-level information management system is performed using computer modeling tools, including simulation. The models take into account the heterogeneity and variability of structures, network bandwidth and distributed database features. In recent years, become topical investigating the properties of evolving information systems in holding’s management. This article deals with the evolution of management information systems (MIS). Modeling of support MIS performance process is carried out with the use of the optimal composition of the resources required in the first stage. The model takes into account that the parameters of the system gradually drift far enough away from the optimum, and the phase trajectory is «attracted» to the stable, but non-optimal point in the evolution. All this testifies to the fact that the necessary features to achieve the bifurcation point are performed, and the validity of the hypothesis made earlier about the need to release a new version of MIS proved. Bringing the system to even more efficient state without interrupting the life cycle requires some special solutions, one of which is the release of the next version of the MIS. Some scientific research and consulting unit in the holdings can carry out systematic analytical study of MIS on their own, or setting targets for outside organizations — universities or research institutes.
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On the 75th anniversary of Valery P. Meshalkin

This publication is dedicated to the 75th anniversary of professor Valery P. Meshalkin, the famous Russian scientist, co-chairman of editorial board of our edition entitled «The Journal of Applied Informatics». Professor Valery P. Meshalkin is a Doctor of Technique, Corresponding Member of Russian Academy of Sciences (RAS), Director of the Institute of Logistics and Resource Technology Innovation in D. Mendeleyev University of Chemical Technology of Russia, Head of Logistics and Economic Information Chair. All his colleagues and the editorial board congratulate Professor Valery P. Meshalkin on the 75th anniversary and wish him all the best!
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System analysis of risky project realization using special scales (for example, investment processes)

The concept of «risk» was quite developed as economic category. The theory of risk is actively developing. Partly for that reason, the term risk of different authors may have a different interpretation. In connection with the above, the notion of «risk» is often used in everyday speech. This word is used more often than the word «cat» according to the frequency dictionary of the Russian language. «The classical risk theory» of Daniel Bernoulli may be chosen as the basic concept of system analysis. But the «neoclassical theory» of Lawrence Galitz can also be applied. Risk analysis with the help of the special theory is reduced to the analysis of the stability of the automated control system. Mathematical methods of operational calculus applied. Sustainability criteria by using the theory of functions of a complex variable are used. The dynamics of the control system is investigated by means of special software — simulation model. Graphic illustration of the dynamics of stability displayed by means of «locus» — special figure is automatically created on the complex plane. This indicator means used is provided by software developed by the authors. The structure of the research simulation software provides. Numerical examples illustrate the application of a special simulation system — the software package Actor Pilgrim. Below we consider the systematic analysis of risky management processes by means of the special scales that are using in the decision-making support system DSS (for example, investment projects).
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Simulation modeling and fuzzy logic in real-time decision-making of airport services

Decision making by the aircrafts services of the international airport, which provides for intensive traffic of aircraft and their ground handling, becomes a very topical issue. If earlier it was believed that the intensity is provided only by the number of runways, nowadays a large accumulation of aircraft on the airport platform-field creates equally complex difficulties in comparison with aircraft take-offs and landings. Solving such problems with the use of «crisp methods» of queuing theory gives little. This article deals with modern «fuzzy methods» based on simulation modeling and fuzzy logic.
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Assigning priorities in technological hubs using simulation and fuzzy logic

The tasks of priorities assignment to applications, work, actions and simply objects of activity are decided long ago and in different ways. In purely technical systems, including computer and communication systems, where serving processes can be programmed explicitly, such tasks are considered to be practically solved, because: first, two counterprocesses are analyzed (the service process and the waiting process), If the serving node is busy, and secondly, the time parameters are taked into account mainly. In this case, as a rule, the waiting time for some classes of applications is minimized. However, in schemes of multi-nomenclature productions, especially high technology products, the efficiency of production or the production site depends not only on the direct losses of time, since delays can be evaluated in a different way, taking into account the funding resources, urgency resources and even the administrative resource. Therefore, clear rules and algorithms can become fuzzy, and the task of minimizing losses is complicated. This article is devoted to the joint application of simulation modeling and fuzzy logic algorithms in the tasks of priorities operational assignment for application in technological hubs. Particular attention is paid to the development of a unified program function for fuzzy priorities assignment in models created through the licensed software package Actor Pilgrim. The information links of this program function with the internal atomic data structures of simulation model are also considered. The considered models are intended for use in two-scale adaptive fuzzy control systems.
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Complex simulation using genetic algorithms

Genetic algorithms are used in various forms to solve scientific and technical problems. They are used to create computational structures. In machine learning, they are used in the design of neural networks or in the control of robots. They are also used to model development in different subject areas, including social, economic and political systems. It is possible and heuristic-mathematical application of genetic algorithms for multiparameter functions optimization. Most real problems can be formulated as the search for the optimal value, where such a value is a complex function, depending on certain input parameters. In cases where the exact optimum is not needed, a solution can be any value that is better than a given value. Then the genetic algorithm is an acceptable method for finding «acceptable » values. The strength of the genetic algorithm lies in its ability to manipulate many parameters simultaneously; this is used in different projects, including even aircraft design. However, the formal, purely mathematical application of such algorithms, without taking into account time characteristics, dynamics and other features of real processes, where they are applied, can either not give a rational effect, or lead to an erroneous decision. One of the ways of linking the appropriate models of decision support to dynamics is a complex modeling of the studied processes on the basis of simulation modeling using genetically-based algorithms.
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Hybrid cyber-modeling in economics: actor-network theory, simulation, NON-factors and super fuzzy logic

Computer simulation is usually the launch of parallel interacting computational processes, similar to real processes, but in virtual spaces and time. Such a model makes it possible to obtain the metrological characteristics of a real process, a field study of which is either very expensive or impossible because of the receiving irreplaceable damage risk. However, to create a model, sometimes there is no complete set of source data to ensure a satisfactory significance level, and it is necessary to create a model under conditions of uncertainty. In this case, along with programs that receive metrological characteristics as source data, there is a need to include programs that implement artificial intelligence methods to obtain new qualimetric characteristics in the model. In this direction is the development of modern software for hybrid simulation modeling and related modern methods. According to the publications and author’s experience, the most studied area of hybrid simulation modeling is the use of bioinspired algorithms. The using of fuzzy controllers allows you to implement some adaptive methods necessary for simulation models when searching for acceptable solutions and modes of the simulated processes operation, for the sake of which these models are created to control. The most difficult area of hybrid simulation is the use of super-fuzzy logic when conducting interval evaluations of membership functions in the same simulation models that use fuzzy controllers. This direction requires additional experimental research, literally «at the scientific interface» of metrology and qualimetry, using special modeling techniques.
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Information technologies for forecasting the economic processes of financial bubbles control

The analysis of the problems arising while creating new information technologies for forecasting economic processes of financial bubbles controls based on simulation models is carried out. The need to develop such technologies is caused by the growing influence of financial bubbles in the economy, primarily digital, which use artificial intelligence and the Internet utilizing raw data. The proposed information technology is justified by theoretically grounded models as well as decision-making methods and techniques. The proposed approach is based on the theory of equilibrium random processes and nowadays approaches for measuring and managing financial bubbles are suggested. In particular complex simulation model of economic agents based on technology of an evolutionary-simulation model approach is introduced. This approach provides the framework within which a set of interconnected simulation models and algorithms for optimizing the risks in the dialogue mode is used. To calculate a financial bubble share an indicator SFB (share of financial bubble) that measures the share of the secured portion in the nominal value of a currency or security is suggested. This indicator can be used as a basis for information technology for managing financial bubbles. Finally, some solutions of the current Russia economic problems based on financial bubbles control are considered.
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Instrumental decision support in multiprojects management for metal production issue (part 1)

The article discusses some new results obtained in the problem solving process of developing new tools for assessing the viability of large innovative multiprojects in the metallurgical industry for the new metal products issue. Accordingly, methods have been created for predicting the performance indicators of enterprises participat-ing in such multiprojects. The results obtained are important to development of economic-mathematical and instrumental methods for analyzing the effectiveness of in-novation in the dynamic environment. A model has been created for the implementation of a large innovative multiproject as part of the new metal production creation with the ability to carry out this project stages by several participants. An assessment was made of the various components of the metallurgical enterprises innovation potential and their external environment using dynamic growing pyramidal networks and Kalman filtering. A computer actor-simulation model for implementation of the organizational stage of production in the metallurgical complex has been developed. An organizational- computational procedure and an information system for decision-making support to managing a large innovative multiproject in the metallurgy and approving technical tasks for its subprojects. An organizational-computational procedure and an information system for decision-making support to managing a large innovative multiproject in the metallurgy and approving technical tasks for its subprojects. The created economic and mathematical tools were used to develop recommendations for the implementation of an innovative project carried out at the stage of semi-finished production for future metal-made products.
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Instrumental decision support in multiprojects management for metal production issue

The article discusses some new results obtained in the problem solving process of developing new tools for assessing the viability of large innovative multiprojects in the metallurgical industry for the new metal products issue. Accordingly, methods have been created for predicting the performance indicators of enterprises participat-ing in such multiprojects. The results obtained are important to development of economic-mathematical and instrumental methods for analyzing the effectiveness of in-novation in the dynamic environment. A model has been created for the implementation of a large innovative multiproject as part of the new metal production creation with the ability to carry out this project stages by several participants. An assessment was made of the various components of the metallurgical enterprises innovation potential and their external environment using dynamic growing pyramidal networks and Kalman filtering. A computer actor-simulation model for implementation of the organizational stage of production in the metallurgical complex has been developed. An organizational- computational procedure and an information system for decision-making support to managing a large innovative multiproject in the metallurgy and approving technical tasks for its subprojects. An organizational-computational procedure and an information system for decision-making support to managing a large innovative multiproject in the metallurgy and approving technical tasks for its subprojects. The created economic and mathematical tools were used to develop recommendations for the implementation of an innovative project carried out at the stage of semi-finished production for future metal-made products.
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NON-factors, temporal logic and fuzzy logical tools in hybrid import substitution risk management models

In the past five years, the problems of import substitution began to arise in the industrial sectors of various countries: in Russia, China, Belarus and others. The main reasons are political decisions at the state level in importing countries, which are expressed in the form of sanctions, as well as unfair competition from manufacturing companies, supported at the state level in these countries. Therefore, in consumer countries, technical and trade-economic measures are being developed to ensure their economic security. Appropriate research and development in these countries has become very relevant. The article discusses the solution to the project risk management risk in import substitution case of purchased products using modern methods of system analysis and operations research. In projects, as a rule, two main types of import substitution are considered: improved and radical. Dozens of import substitution options are being studied, which are grouped into three types: A – replacement of imports by imports from another country that does not support sanctions; B – development of our own product that completely replaces the imported one, and the release of this product at the country’s enterprises; C – development of a new system, which includes this product, if a 100-percent analogue cannot be purchased in a third country or produced domestically. Option A may be the simplest, and option C may become complex or the most difficult and expensive from viewpoint of material and time resources. The authors propose new solutions to the problem of choosing options for import substitution, based on establishing “fair” priorities for the options being implemented using hybrid models and a special information management system. Read more...