05.13.10 Management in social and economic systems
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05.13.10 Management in social and economic systems
DescriptionThe 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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05.13.10 Management in social and economic systems
DescriptionThe 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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MULTI-CRITERIA ANALYSIS OF ALTERNATIVES IN SOLVING HUMAN RESOURCES MANAGEMENT PROBLEMS
05.13.10 Management in social and economic systems
DescriptionHuman resources have recently reasonably gained more and more importance. Today, along with material, intellectual, informational and financial resources, they affect the efficiency of enterprises and organizations. Competent assessment of human resources, a clear understanding of means of interaction with staff and developing human potential are the basis for the effective work of both human resources departments and organizations as a whole. The complexity of assessing human resources necessitates the development of a toolkit, the use of which will simplify it and ensure that one receives the most accurate advice and assistance in making management decisions. A promising direction for the implementation of the designated toolkit may be the development of a decision support system, within which, among other things, the possibility of a multi-criteria analysis of alternatives will be available. Due to the fact that there are no methods for multi-criteria analysis of alternatives intended solely for assessing human resources, it is necessary to conduct a thorough analysis, the main purpose of which is to identify the most suitable basis for further adaptation and development. After conducting preliminary studies, the TOPSIS, MAUT, AHP and ELECTRE methods were chosen as the most promising for solving the problem
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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
DescriptionThe 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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NEURO-FUZZY CONTROL MODEL OF AN INNOVATION-ACTIVE COMPANY MANAGEMENT
05.13.10 Management in social and economic systems
DescriptionThe 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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05.13.10 Management in social and economic systems
DescriptionThis 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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05.13.10 Management in social and economic systems
DescriptionOne of the key problems facing medicine is the correct diagnosis given in a timely manner. For all the existence of medicine, humanity has accumulated a lot of knowledge in this area. According to this knowledge, new specialists are trained. But there is so much information that it is sometimes impossible to find the right information in it in time, and this can cost the person who came to see a doctor very expensive. In this specialist comes to the rescue computer. Information technologies, training in information bases perfectly cope with the task of identifying the disease and providing the most appropriate information
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DEVELOPMENT APPROACHES TO GAMIFIED APPLICATIONS
05.13.10 Management in social and economic systems
DescriptionThe 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
DescriptionGeographical information systems are currently considered to be one of the most technologically advanced ways to observe natural processes. In many industries, geoinformation systems have found their application and show a positive effect from implementation. This article discusses the features of their application in the field of specially protected natural territories. The structure is given in accordance with Federal and regional legislation, as well as quantitative characteristics of specially protected natural territories of the Krasnodar region. The article also describes advantages of using geoinformation systems for specially protected natural territories
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USING NEURAL NETWORKS FOR THE PROJECT TEAM SELECTION
05.13.10 Management in social and economic systems
DescriptionThe 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