Scientific Journal of KubSAU

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

Loyko Valeriy Ivanovich

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Kuban State Agrarian University
   

Web site url

Email

loyko@kubagro.ru


Articles count: 145

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562 kb

SYNTHESIS, VERIFICATION, AND THE STABILITY RESEARCH OF THE SYSTEM-COGNITIVE MODEL OF PROCESSING COMPLEX REGION

abstract 1011407016 issue 101 pp. 305 – 333 30.09.2014 ru 858
In this article, in accordance with the methodology of SC analysis, we consider particular implementation stages of the synthesis of the numerical model and its analysis. We have also presented the results of the determination of the different states of the processing complex function of various factors on these states and their classification, as well as semantic networks and cognitive class diagrams and factors. On the basis of the analysis we made specific findings and recommendations for decision making at the management level of the region. After execution of the stages of cognitive structuring and formalization of the subject area the further stages of automated SC analysis have been accomplished, the first of which is the phase of the input database of precedents. All these steps are performed directly using "Eidos" universal cognitive analytical system
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 4428
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.
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 912
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 857
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 493
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
338 kb

SYSTEMIC - COGNITIVE APPROACH TO BUILDING MULTI-LEVEL SEMANTIC INFORMATION MODEL OF AGRO-INDUSTRIAL HOLDING AND MADE ON ITS BASIS SOLUTIONS OF FORECASTING PROBLEMS, SUPPORT OF ADMINISTRATIVE DECISIONS MAKING AND SCIENTIFIC RESEARCHES

abstract 0450901002 issue 45 pp. 11 – 29 30.01.2009 ru 2844
Methodology of using systemic cognitive analysis for building multi-level semantic information model of agro-industrial holding management is formulated in the article in general. Based on this, solutions of forecasting problems and support of decision-making process of management and scientific researches are listed
468 kb

SYSTEMIC - COGNITIVE APPROACH TO THE DESIGNING OF MULTI-LEVEL SEMANTIC INFORMATION MODEL OF MANAGEMENT BY AGRO INDUSTRIAL HOLDING

abstract 0410807011 issue 41 pp. 194 – 214 15.09.2008 ru 2555
Management problem of agro industrial holding is formulated in the article in general, from one hand, it is necessary to work out recommendations and adaptive model on holding management for it, and from other hand, designing of its model is difficult because of high complexity and dynamics of inner logistics of an management object, its territorially distributed and multi branch character, large amount of economic indexes, characterizing its activity on different levels of its organization. General method of formulated problem decision by means of systemic-cognitive approach is offered. First stage of model synthesis is described: cognitive structure formation of private models, entering its multi-level semantic information model.
361 kb

SYSTEMIC COGNITIVE ANALYSIS IN THE MANAGEMENT OF THE NOMENCLATURE AND VOLUMES OF PURCHASES-SALES IN AGRICULTURAL TRADE: STATEMENT OF THE PROBLEM

abstract 1331709055 issue 133 pp. 730 – 734 30.11.2017 ru 143
The performance indicators of a trading company in physical and monetary terms is significantly affected by the types and volumes of purchased and sold products, and which she purchased suppliers and the consumers sold. However, the solution to the problem of choosing the rational range of products faces considerable cost of computational and human resources, and lack of baseline data, and in real dimensions this problem has no solution. The paper proposes such a solution is very economical in costs of different types of resources based on the application of information theory, cognitive and control theory
233 kb

TECHNIQUES AND MODELS OF EFFICIENCY MANAGEMENT OF BREAD PRODUCING INDUSTRIAL SYSTEMS OF CONSUMERS' COOPERATIVE SOCIETY

abstract 0520908002 issue 52 pp. 15 – 29 30.10.2009 ru 2342
In the article the results of research of efficiency of three types of bread producing production associa-tions of consumers' co-operative society with vertic-al integration and models of optimization of their entrance parameters are resulted
297 kb

THE DEVELOPMENT OF AN INTERVAL MODEL OF THE EFFICIENCY OF AN AGROINDUSTRIAL INTEGRATED PRODUCTION SYSTEM ON THE BASIS OF THE INTEGRATED INDICATOR OF RISK OF THE INTERNAL ENVIRONMENT

abstract 1231609100 issue 123 pp. 1472 – 1487 30.11.2016 ru 237
In this article the model and a calculation procedure of an integrated indicator of risk of the internal environment of the integrated production system are described. Then the steps of creation of triangular fuzzy number for expected value of profit are given. At creation of this fuzzy number the concept of an indicator of risk of the internal environment of the integrated production system was used. Further on the basis of the developed model of internal risk the interval model of efficiency of the integrated production system is developed and described. In this article the structure of a production chain of the integrated production system of agroindustrial complex was considered. In technologically complete production chain, as a rule, allocate three stages – raw materials production, storage and conversion, sale of finished goods. Each subsequent stage depends from previous stage, and at each stage various situations of risk are shown. Also the process of risk identification of the internal environment of the integrated production system was considered in this article. Process decomposition is executed, the description of subprocesses is given. For a risk assessment of the internal environment it is necessary to know quantity of production chains, and also to calculate value of risk for each production chain on the enclosed algorithm. Also in the article the principle of recognition and interpretation of results of calculation of an integrated indicator of risk of the internal environment of the agro-industrial integrated production system on the basis of Harrington's scale and standard indistinct 01 classificators is shown
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