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Goremykina G.I. PhD of Physics and Mathematics, Associate Professor, the Department of Applied Mathematics, the Moscow State University of Economics, Statistics and Informatics ( g_iv.05e @ mail.ru )
Mastyaeva I.N. PhD of Technical Sciences, Associate Professor, Head of the Department of Applied Mathematics, the Moscow State University of Economics, Statistics and Informatics ( firstname.lastname@example.org )
Journal: National Interests: Priorities and Security, #23, 2013
In the article the model of fuzzy logic control system according to the results of the customs authorities on the basis of key performance indicators is presented. In model the scheme of an indistinct conclusion across Mamdani according to expert indistinct knowledge bases is applied. Process of system development is realized in the environment of MatLab with use of a Fuzzy Logic Toolbox package and the interactive fuzzy module. Some practical recommendations on how to build this system, modeling of the system parameters are offered.
Outlining the methodology for management by objectives in line with performance results of the customs service
Goremykina G.I. Plekhanov Russian University of Economics (PRUE), Moscow, Russian Federation ( email@example.com )
Gupanova Yu.E. Russian Customs Academy, Lyubertsy, Moscow Oblast, Russian Federation ( firstname.lastname@example.org )
Journal: National Interests: Priorities and Security, #11, 2018
Subject Customs authorities should improve the customs administration mechanism, which depends on an adequate evaluation of performance results from strategically important aspects of operations. The balanced scorecard converts the mission and general strategy into specific and exact goals and indicators.
Modeling the Decision Support System in management of investment projects for prevention of emergency situations
Goremykina G.I. Plekhanov Russian University of Economics, Moscow, Russian Federation ( email@example.com )
Konstantinova O.V. Plekhanov Russian University of Economics, Moscow, Russian Federation ( firstname.lastname@example.org )
Mastyaeva I.N. Plekhanov Russian University of Economics, Moscow, Russian Federation ( email@example.com )
Journal: National Interests: Priorities and Security, #3, 2017
Importance A new development strategy of the EMERCOM of Russia requires a new approach set up by 2030 to shift from operational response towards risk management, prevention and elimination of large hazardous factors, risks and threats. Active investment policies of the State is one of the requirements for successful implementation of governmental programs. Growing volume of investment, formation and implementation of the effective strategy of investment development require to create and integrate scientifically proven investment management models and methods in the specific operations of the EMERCOM of Russia.
Goremykina G.I. Moscow State University of Economics, Statistics and Informatics, Moscow, Russian Federation ( firstname.lastname@example.org )
Mastyaeva I.N. Moscow State University of Economics, Statistics and Informatics, Moscow, Russian Federation ( email@example.com )
Fedorchuk A.A. Autonomous Non-commercial Organization UFL Organizing Committee, Moscow, Russian Federation ( firstname.lastname@example.org )
Journal: National Interests: Priorities and Security, #5, 2015
Importance The target-oriented and forecasting fuel and energy balance of Russia for the period until 2035 presumes advanced development of the electric-power industry for the realization of large-scale electrification of the national economy with the growth of installed power in power plants by more than 1/3 times increase and 1.6 times increase of generation of electricity. The change of functioning conditions directly impacts each electric-power industry facility. Because of this, at present, Russia is experiencing reforming of electric-power industry: of wholesale market liberalization of electric energy, implementation of the energy-saving and energy-efficiency programs, changing of tariff regulation and creation of wholesale market of power capacities. As a result, the organizations need new tools and technologies for transforming regulation market into competition market. A competition market is characterized by decision-making under condition of uncertainty. As a result, there is a need of forecasting of potential loses, and it means creating risk-management system.
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