05.13.10 Management in social and economic systems
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USING NEURAL NETWORKS FOR THE PROJECT TEAM SELECTION
05.13.10 Management in social and economic systems
Description
The study was carried out with the financial support of the RHNF as part of the research project of the RFBR 17-02-00475-OGN "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article considers the issue of automated selection of specialists for the project. It is proposed to use artificial neural networks as a decisive core of the system. We have considered several solutions to the problem with a basic version based on a cascade of two neural networks
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NEURO-FUZZY CONTROL MODEL OF AN INNOVATION-ACTIVE COMPANY MANAGEMENT
05.13.10 Management in social and economic systems
Description
The article discusses the concept and the principles of the organization of neuro-fuzzy management of an innovation-active enterprise based on intelligent technologies and high-performance computing tools. The developed information model provides operational control of the current situations caused by innovations in the complex dynamic conditions of the changing market conditions. Particular attention is paid to solving the problem of planning operations and developing management decisions when implementing the principle of competition in the face of uncertainty and incompleteness of the initial information. The developed software implementation of the fuzzy ranking of management solutions options is publicly available on ws-dss.com
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MODELING AND DIAGNOSTICS OF THE RESEARCHER’S SYNERGIC INTERACTION WITH THE SCIENTIFIC COMMUNITY
05.13.10 Management in social and economic systems
Description
The article presents innovative models and methods to diagnose the researcher’s synergic interaction with the scientific community (social mega-environment). It is known that the researcher’s interaction with the social mega-environment has two main directions: scientific collaboration and using the scientific community’s social and cultural potential; the former appears as scientific publications, while the latter appears as scientific citations. It is also known that synergic interaction is the interaction leading to the increase in activity results (according to the “1+1>2” scheme). In the article, the researcher’s synergic interaction is understood as his/her collaboration-based research activity that leads to obtaining the results impossible without this interaction. The theoretical significance of the research results is in the possibility for the further development of the sociology of science, as well as for the further development of the models of the individual’s interaction with the social environment; the practical significance is in the possibility to analyze the factors contributing to the success in the research activity of academic researchers and research teams (i.e. applicable for monitoring the research activity)
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05.13.10 Management in social and economic systems
Description
This article discusses the general principles of developing software applications for generating and verifying practical tasks in mathematical disciplines in the Visual Basic for Application development environment. The structure of computer programs is described, the main components of the implemented macros are investigated, the algorithms of the basic procedures are given. A special place is given to the problems of identifying students and protecting the generated data. We have also given recommendations on the use of developed programs in the educational process
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CHARACTERIZATION OF THE LIFE CYCLE OF A SCIENTIFIC ORGANIZATION
05.13.10 Management in social and economic systems
Description
On the example of economic analysis, we have characterized the life cycle of a scientific institution, the history of the formation and development of which covers almost a three-hundred-year period. The article determines features of the methodology for identifying the stages of the life cycle of a scientific organization and identifying factors that determine the stage of the life cycle
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05.13.10 Management in social and economic systems
Description
The article discusses modern approaches to the implementation of the migration of virtual machines between different virtualization platforms. A comparative characteristic of virtual migration tools is given. Conclusions are drawn on the expediency of applying different approaches depending on the task facing migration and available resources. The author presents a technique for migrating virtual machines from VMware vSphere virtualization platform to Microsoft Hyper-V virtualization platform, which allows to increase the speed and reliability of the migration process and significantly save on operating costs of the company
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05.13.10 Management in social and economic systems
Description
The management of the process of implementation of projects at the refinery should be carried out comprehensively. To improve the diagnostic system of insulation of the stator windings of electric motors with a voltage above 1 kilovolt, it is necessary to involve specialists of all sub-divisions. This will allow a comprehensive approach to the problem of reducing the intensity of labor, and, consequently, to reduce the norms of time for performing operations provided for by the technological process. It is proposed to create a project team consisting of the following specialists: General Director, chief designer, chief electrician, lead engineer for adjustment and testing, Deputy Director for production, head of the Department of labor and wages, chief economist. In addition, the design should involve the heads of shops and sites, directly managing and organizing processes in the workplace. Domestic and foreign experience shows that the introduction of diagnostic tools is one of the most important factors in increasing the economic efficiency of the use of equipment in the industry. Purpose of diagnostics is identification and prevention of failures and malfunctions, maintenance of operational indicators within the established limits, forecasting of a condition for the purpose of full use of a resource
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05.13.10 Management in social and economic systems
Description
The article considers the most used methods and means of knowledge extraction taking into account the quality assessment of models in decision support systems. In scientific and practical terms, the possibilities of joint effective use of expert systems, data mining (IAD) and machine logical inference (MLV), which provides deeper data processing, taking into account the significant differences between databases (DB) and knowledge bases (BZ). DB is a unit of information unrelated to each other information, while BZ – not only related to each other, but also with the concepts of the world, which makes it possible to solve complex multi-criteria problems in various subject areas. Currently, increasing attention is paid to non-network technologies that have the ability to simulate nonlinear processes, work with noisy data, as well as the ability to learn and self-study, extracting essential features from the incoming information. At the same time, the integration of neural network technologies and artificial intelligence models into a single hybrid system together with the methods of logical inference in the form of a hierarchical sequence of the "If-then" rules structure significantly improves the understanding of the studied process and the quality of presentation of the result. Nevertheless, these methods and means of knowledge extraction are insufficient if the fuzzy linguistic inference mechanism is not used. The basic characteristic of fuzzy sets is the membership function, which is a generalized characteristic of a normal set. To set this feature, we use three types of shapes – triangular, trapezoidal and Gaussian type and two main procedures – phasefication and de-phaseification which is considered by the example of the method of Mamdani. Along with the stated most promising direction in this area is the adaptive gain algorithm called AdaBoost, where the limitation of the gain due to the filtering is to apply the subsampling circuit which has the normal contour of batch training, reusable training data. This provides an opportunity to work with weak models, and in the conditions of hybridization causes efficiency increase, strengthens the classifiers united in the "Committee". Each next set of classifiers is built on objects incorrectly classified by previous sets. AdaBoost is sensitive to data noise and emissions and is less susceptible to retraining, which can significantly reduce the number of examples and obtain better output in the DSS
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DEVELOPMENT APPROACHES TO GAMIFIED APPLICATIONS
05.13.10 Management in social and economic systems
Description
The article discusses the development approaches to gamified applications, the rules for their script designing and the user involvement principles into the gameplay. The work provides practical examples for main phases of the software design with full or partial gamification. There are conclusions made about the feasibility of using mixed approach in gamified software development and there are recommendations given for developers and IT-customers to increase the commercial effectiveness of gamified software
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05.13.10 Management in social and economic systems
Description
The article deals with the complexity of the construction of engineering theories in both scientific and practical direction based on the use of non-traditional approach to the problems of effective data monitoring, especially in the field of control systems of multicomponent representation of objects of system analysis. The study of the complexity of this issue involves a detailed consideration of the relationships of the elements of these objects on the basis of known methods, while the integration of heterogeneous knowledge obtained by such often independent methods becomes very time-consuming and poorly formalized. Currently, the processing of information and its subsequent presentation have changed significantly through the use of data mining (IAD), which includes not only the organization of the knowledge system in various missile defense, but also in the field of DSS. This, in turn, contributes to the effective formalization of fuzzy information and processing it in the form of fuzzy algorithms, which is an extension of the decision support system based on fuzzy logic – DSS NL. At the same time, it is necessary to emphasize the features of the proposed approach of the DSS NL, which is that it can be used in various missile defense systems, including for the effective analysis of statistical information of multicomponent representation of objects, which is used in determining statistical indicators to identify and assess existing and potential risks, adverse situations, as well as in the preparation of motivational grounds for managerial decision-making. For the purpose of more detailed establishment in real missile defense of the relations between objects it is offered to carry out by means of various degrees of dependence. For example, the types of graded connections are considered as fuzzy objective connections, and the use of expert systems and semantic links led to the construction of hypotheses analysis of situations and semantic relationship between them. A significant difference of the considered DSS NL is that each model is formed on the basis of a separate semantic network, and the system itself works with several models of Pro related or unrelated to each other. On the basis of the use of the concept of the relationship of proximity between concepts, belonging to the situation, its information part of the recommendations Are grouped according to the selected situation for their subsequent analysis and decision-making. On the basis of the principle of coordinating actions and construction of the function, taking into account the optimal time of the control action, the General algorithm of decision support for emergency production situations in the Pro low-rise construction, both in urban and rural areas
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