name
Popova Elena Vitalevna
Scholastic degree
•
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
Кафедра информационных систем
Заведующая кафедрой
Research interests
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Web site url
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 17
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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PHASE ANALYSIS AS A TOOL OF PREESTIMATED ANALYSIS OF THE ACTIVITY OF A MULTIFUNCTIONAL CENTER
DescriptionThe article is devoted to the phase analysis as a tool preprocessor analysis of a multi-purpose center. Consider the time series of the daily number of requests received on the basis of the phase portraits of these time series. These time series have strong properties of cycles and periodicity. Practice has shown that in modern conditions, for example, for the Russian economy with its instability and financial crises, classical economic theory and statistics, built on linear models, turned out to be unproductive. Overview of approaches and economic-mathematical methods preprocessor analysis of evolutionary economic processes and the corresponding time series allows concluding the following: one versatile, satisfying all the requirements, do not possess the shortcomings of the method of analysis and forecasting does not exist. Each approach and each method has its advantages, disadvantages, limits of use. Most of the known methods of forecasting operate detected in the considered time series properties of cycles and periodicity. Thus, the mere presence of a pronounced cyclicity at different levels of the considered hierarchical model of the time series of the number of requests in a multi-purpose center are important indicators of the possibility of constructing an adequate predictive model number of requests in the multi-purpose centre
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STABILITY OF DEVELOPMENT OF AGRARIAN SECTOR: COMPLEX OF MATHEMATICAL METHODS AND MODELS
DescriptionTools and mathematical methods offered for usage represent essentially new base for forecasting of discrete evolutionary processes. Authors represent complete system of models and methods of temporary ranks’ with memory forecasting
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Description
In the article the forecasting model which is based on the theory of cellular automatic machines and mathematical apparatus of indistinct sets is presented. Its work on the real data of time number productivities of sugar beet in Mostovskoy area of Krasnodar territory is shown
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FORMATION AND DEVELOPMENT OF THE INDUSTRY OF SALE AND DELIVERY OF WATER IN RUSSIA
DescriptionThe article contains the study of peculiarities of formation and development of HOD market, the issues of interaction of its participants, the analysis of approaches to the management of the activity of enterprises of small and average business in the market of HOD
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SYSTEM APPROACH TO TOURISM DEFINITIONS AND ITS SOCIO-ECONOMIC MEANING IN THE MODERN SOCIETY
DescriptionIn the article we present the following terms: tourism, tourist destination, tourist flows. The article also analyses the prevailing approaches to how to learn and organize the industry of tourism and recreation, as soon as there are some problems of scientific support for the tourism sector
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TOURISM SEGMENTATION AS A CONDITION OF THE CONTEMPORARY MARKET OF TOURISM
DescriptionThe necessity to divide tourism to different parts has been stated in the article; we have also examined lots of tourism classifications and proposed the author’s segmentation of tourism according to nowadays tourism market condition
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PREDICTION OF A FINANCIAL MARKET EVOLUTION ON THE BASE OF SOFTWARE TOOLS FOR LINEAR CELLULAR AUTOMAT
DescriptionThe work used methods of system analysis, monographic, structural and logical, economic-statistical, mathematical continuous and discrete, settlement and constructive methods as well as software tools of linear cellular automata. Usage of each method was based on their functionality, thus ensuring the accuracy of the findings and scientific positions. In this article we attempt to predict the dynamic behavior of the financial market elements, to use on the basis of a linear cellular automaton computer tools and methods of nonlinear science for adequate numerical reflection measure various risks, primarily financial and economic risks, as well as to show the power of computer graphics, computer mathematics system linear cellular automata, to emphasize an important philosophical role of visualization. The authors of the work programmed linear cellular automaton based on Python 2.7 software platform in the form of application. The program validates the predictive model on the adequacy of the selected coloring, is forecast error and builds polygons predictive model and input data on the same graph. The proposed research area is relevant to the processes in the financial and economic system, bringing in useful innovative elements in the generalized forecast that do not exist in continuous classical methodology
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Description
Development of monitoring of the behavior of financial market, simulation, analysis, visualization, prediction in modern conditions is connected with a consistent increase in their level of formalization. The basis for this process is the requirements of significantly changed (in the direction of increasing) stochastics, turbulence, volatility, financial and economic processes. Particular relevance in the analysis of behavior of economic time series elements of the financial market is now becoming more systematic development of diverse, interdependent and mutually complementary economic and mathematical models. The models are linked, they are operating on the same source material, and their selection has improved the representativeness of the algorithms of modern economic processes of the financial market, which is important for transformational (transitional) market economies. In the article it is shown that the proposed usage of instrumentation and mathematical methods represent essentially new base for forecasting of discrete evolutionary processes
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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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METHODS OF MULTICRITERIA RANKING MODELING IN SOCIO-ECONOMIC RISKS
DescriptionThe aim of public health monitoring is to study the influence of environmental factors on health, identifying causal relationships, forecast the situation and the adoption of adequate solutions for management of the situation. One of the tasks of forecasting is the evaluation of risk, as well as indicators’ of a disease growth. The authors calculated the risk of spreading disease in the territory due to environmental factors (EF). Thus, it will be possible to make adequate solutions to detect and eliminate harmful EF. Consequently, decision-making for managing human habitations needs paying attention to the highest risk of the emergence and spreading of diseases, standing at the beginning of the ranked series, in order to identify causal relationships of environment and public health of the population. Mathematical model of evaluation index system such as "degree of concern" of the disease of population makes it possible to identify the most "risky" classes of diseases for different groups of the population, followed by determination of causal relationships due to the influence of environmental factors