Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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133 kb

SYSTEM OF BALANCED INDEXES AND PROBLEM OF MONITORING OF A CORPORATION CONDITION

abstract 0370803002 issue 37 pp. 10 – 22 31.03.2008 ru 3654
Problem of monitoring of a corporation condition is discussed and its position in rival environment in the course of realization of chosen development strategy is determined in the article. It is offered to use balanced indexes to create measuring system.
281 kb

SYSTEM OF DECISION-MAKING SUPPORT OF ECONOMIC PARAMETRES MANAGEMENT IN PLANT GROWING

abstract 0440810008 issue 44 pp. 115 – 130 25.12.2008 ru 4532
Plant growing successes influence the effectiveness of not only the branch in itself, but of the other agricultural branches and economics of agricultural enterprises in general as well. Models and methods of decision taking process improvement in plant growing were considered in the article.
181 kb

SYSTEM OF FOOD BASKETS AS THE BASIS FOR FOOD SECURITY

abstract 0891305093 issue 89 pp. 1345 – 1363 29.05.2013 ru 1478
The article included an analysis of the food basket as a factor in provision national food security. The article also considers the minimum and rational structure of the basket. We present the criteria for calculating the optimal balance of a food basket
537 kb

SYSTEM OF MANAGEMENT: FLOWS, TREE OF PURPOSES AND FUNCTIONS OF INTEGRATED PRODUCTIVE SYSTEMS OF SUGAR SUB COMPLEX

abstract 0390805012 issue 39 pp. 203 – 215 30.05.2008 ru 4844
Schemes of informational, monetary and material flows IPS SP were worked out on the base of analysis of sugar sub complex, and structure of purposes and functions of management system of IPS SP based on the method , which takes into account the surrounding medium and purposes, was created as well.
195 kb

SYSTEM OF PRODUCTION SERVICES OF AGRICULTURE: THEORY AND PRACTICE

abstract 0891305046 issue 89 pp. 697 – 707 29.05.2013 ru 1344
The article deals with the purpose, the tasks, the principles, the types and the forms of agricultural production services; the advantages and disadvantages of various service patterns to agricultural commodity producers are also identified
267 kb

SYSTEM OF TAXATION ANALYTICAL INDICATORS OF ECONOMIC SUBJECTS

abstract 1061502041 issue 106 pp. 649 – 667 28.02.2015 ru 1079
The article presents the main types and stages of tax analysis at the micro level. The authors analyze the sources are specified taxation. This article describes the general principles of economic analysis and the characteristics of their applications in order to analyze the tax. It was found that the analysis of the taxation organization should be carried out in three areas: the analysis of tax payments; analysis of arrears of taxes and levies; analysis of the tax load. Much attention is paid to the analysis of the tax load of the economic subject. The author presents the results of research the concept of "tax load". The article provides its scientifically based definition: a set of complementary indicators, both quantitatively and qualitatively characterizing the effect of mandatory payments of tax nature, levied in the budget of the Russian Federation, on the financial position of the economic entity. It was found that the composition of the tax load includes indicators that on the scale of application can be divided into public and private. The authors describe in detail the procedure for finding, sat the time lag for which it is advisable to determine the tax load of the economic entity. The authors delineate the scope of application of the tax load in the financial analysis of the economic subject
285 kb

SYSTEM PARADIGM AS THE BASIS OF CREATION OF AGRO-INDUSTRIAL COMPLEX CONTROLLING SERVICE

abstract 1321708043 issue 132 pp. 518 – 548 31.10.2017 ru 269
System paradigm is discussed conformably to functioning of controlling institution of a large-scale agro-industrial system. Presently the systemacity became the general platform of fundamental and applied, scientific and practical elaborations and projects. Now in the sphere of system researches surge of interest in questions of classification is observed. Apparently, it is connected with accumulation of results of private researches in all areas of this discipline and with inevitable transdisciplinary crossings of their practical applications. So, undoubted intervention of high technologies to the agrarian sphere is observed. The efficiency of this introduction, certainly, depends on coordination of actions of developers of various subject domains. On the basis of the objective analysis it must be noted that in the arsenal of managers, especially foreign ones, there is practically no fundamentally new methods and tools of controlling. So says the executive director of Russian Association of Controllers prof. S. G. Falco. However, promising mathematical and instrumental methods of controlling actively developed in our country. It is necessary to implement them. For example, managers should be used advanced mathematical and instrumental methods of controlling. These methods are based on the modern development of mathematics as a whole - on the system interval fuzzy math. Considered methods are developed in accordance with the new paradigm of mathematical methods of research. It includes new paradigms of applied statistics, mathematical statistics, mathematical methods of economics, methods of analysis of statistical and expert data in management and control. In the XXI century there were more than 10 books issued, developed in accordance with the new paradigm of mathematical methods of research. The systems approach to solving specific applications often requires going beyond the economy. Very important are the procedures for the introduction of innovative methods and tools. In this article we consider the above research results in their interconnection
2244 kb

SYSTEM-COGNITIVE ASPECTS OF AUTOMATION OF INVESTMENT CONTROL OF REGIONAL AGRIBUSINESS INDUSTRY WITH APPLICATION OF INTELLECTUAL PROCESS ENGINEERING

abstract 0721108045 issue 72 pp. 520 – 534 30.10.2011 ru 1104
In the article, the problem of agribusiness industry control is stated, the purposes of control and measure of its success, and also composition of the computerised management system, including control object, controlling system, informational-measuring system and also a subsystem of rendering of corrective actions are considered. What is offered: 1) the control purpose is to consider a raise of quality level of life of the population of region; 2) the capacity of measure of success of control is to consider indexes of quality level of life of the population; 3) numbers and direction of investments can be used as the controlling factor; 4) synthesis and verification of model of agrarian and industrial complex can be performed directly in a cycle of control, based on application of system-cognitive analisys (SC-analisis) and its programmatic tooling - "Eidos" intellectual system; 5) forecasting of evolution of agrarian and industrial complex and production of controlling solutions can be performed on the basis of cognitive model of agrarian and industrial complex with SC-analisis and application of "Eidos" system
665 kb

SYSTEM-COGNITIVE MODEL OF FORECASTING THE DEVELOPMENT OF DIVERSIFIED AGRO-INDUSTRIAL CORPORATIONS. PART I. COGNITIVE STRUCTURING AND FORMALIZATION OF THE SUBJECT AREA

abstract 1131509097 issue 113 pp. 1380 – 1396 30.11.2015 ru 1230
In this article, in accordance with the methodology of the Automated system-cognitive analysis (ASCanalysis), we examine the implementation of the 1st and 2nd stages of ASC-analysis: cognitive structuring and formalization of the subject area. At the stage of cognitive structurization of subject area, researchers decide what to consider as the object of modeling, the factors affecting it and the results of their actions. In accordance with the results of the cognitive structurization, we prepare the initial database for the study (training sample or case-based reasoning). At the stage of formalization of the subject area, the base of the original data is being normalized, i.e., we develop classification and description: the scale and graduations and with their use the base of the source data is being encoded. The result is a database of events (eventological database) and the training sample. The stage of cognitive structuring and preparation of the source data is not formalized and the formalization of the subject area is fully automated and performed directly with the use of the universal cognitive analytical system named "Eidos", which is a software Toolkit for ASC-analysis. Stages of cognitive structurization and formalization of the subject area of ASC-analysis are the first steps of data conversion into information and into knowledge. Subsequent steps: the synthesis and verification of system-cognitive model, the decision of problems of identification, forecasting and decision making, as well as studies of the modeled object by studying its model will be considered in future articles
862 kb

SYSTEM-COGNITIVE MODEL OF FORECASTING THE DEVELOPMENT OF DIVERSIFIED AGRO-INDUSTRIAL CORPORATIONS. PART II. SYNTHESIS AND MODEL VERIFICATION

abstract 1131509098 issue 113 pp. 1397 – 1410 30.11.2015 ru 860
In this article, in accordance with the methodology of the Automated system-cognitive analysis (ASCanalysis), we examine the implementation of the 3rd ASC-analysis: synthesis and verification of forecasting models of development of diversified agro-industrial corporations. In this step, we have synthesis and verification of 3 statistical and 7 system-cognitive models: ABS – matrix of the absolute frequencies, PRC1 and PRC2 – matrix of the conditional and unconditional distributions, INF1 and INF2 private criterion: the amount of knowledge based on A. Kharkevich, INF3 – private criterion: the Chi-square test: difference between the actual and the theoretically expected absolute frequencies INF4 and INF5 – private criterion: ROI - Return On Investment, INF6 and INF7 – private criterion: the difference between conditional and unconditional probability (coefficient of relationship). The reliability of the created models was assessed in accordance with the proposed metric is similar to the known F-test, but does not involve the performance of normal distribution, linearity of the object modeling, the independence and additivity acting factors. The accuracy of the obtained models was high enough to resolve the subsequent problems of identification, forecasting and decision making, as well as studies of the modeled object by studying its model, scheduled for consideration in future articles
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