Scientific Journal of KubSAU

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

Lutsenko Yevgeniy Veniaminovich

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Kuban State Agrarian University
   

Web site url

lc.kubagro.ru

Email

prof.lutsenko@gmail.com


Articles count: 276

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798 kb

ON-LINE FORECASTING OF VALUE OF ECONOMICAL INDEXES OF DIVERSIFIED CORPORATION WITH APPLICATION OF PROCESS ENGINEERINGS OF ARTIFICIAL INTELLIGENCE (part 1: problem definition and data domain formalization)

abstract 0711107049 issue 71 pp. 696 – 709 30.09.2011 ru 1607
In this article, the problem of short-range forecasting of value and dynamics of economical indexes of diversified corporation is stated, on the basis of application of systemic-cognitive analysis and its tooling (intellectual system "Eidos") the formal problem definition and data domain formalization, i.e. development of classification and descriptive dials and graduations and shaping of training sample is performed
1051 kb

MODELING COMPLEX MULTIFACTOR NONLINEAR CONTROL OBJECTS BASED ON A FRAGMENTED NOISY EMPIRICAL HIGH-DIMENSIONAL DATA IN A SYSTEM COGNITIVE ANALYSIS AND IN THE INTELLECTUAL EIDOS-X++ SYSTEM

abstract 0911307012 issue 91 pp. 167 – 191 30.09.2013 ru 1604
In the article, we have considered the application of a system-cognitive analysis and the Eidos-X++ intellec-tual system to create complex multifactor models of nonlinear control objects on the basis of noisy frag-mented empirical data of large dimension and for the use of these models to solve problems of forecasting, executive decision making and research of the model objects. We have formulated the systematic generalization of the principle of Ashby (for nonlinear systems). The numerical example of a study of an abstract nonlinear system (Lissajous figures), in which the combined effect of multiple factors is the sum of the influences of each of these factors separately, that says about non-compliance of these factors, the principle of superposition and nonlinear effects in the system under consideration. It is shown, that the proposed device and software tools allow us to model such systems. We note, that the proposed device and instrumentation allow to interpret some classification scale, as projected geographical coordinates of the event, and others, like the foreseeable events and their severity, which allows you to get cartographic visualization of recognition of the place and time of events
363 kb

SYNTHESIS OF SYSTEMIC COGNITIVE MODEL OF NATURAL ECONOMIC SYSTEM AND ITS USE FOR PREDICTION AND CONTROL IN GRAIN PRODUCTION (Part 2 – transformation of empirical data into information)

abstract 0891305090 issue 89 pp. 1301 – 1319 29.05.2013 ru 1586
This article at first time presents the synthesis and verification of systemic cognitive model of natural economic system, we have also justified the opportunity of forecasting and decision management, the strategic decisions of the choice of agricultural technologies
1123 kb

SYSTEM FUZZY INTERVAL MATHEMATICS - A PROMISING AREA OF THEORETICAL AND COMPUTATIONAL MATHEMATICS

abstract 0911307015 issue 91 pp. 258 – 310 30.09.2013 ru 1565
The article b riefly considers the prospects of some “points of growth” in the modern theoretical and computational mathematics: the numbers and sets, i.e. the base of modern mathematics; mathematical, pragmatic and computer numbers; from the usual sets - to unclear; the theory of fuzzy sets and “fuzzy dou-bling” of mathematics; the mix of fuzzy set theory to the theory of random sets; interval numbers as a spe-cial case of fuzzy sets; development of interval mathematics (interval doubling of mathematics); the system as a generalization of a multitude; the systematic generalization of mathematics and tasks emerging; the systematic generalization of operations on sets (on the example of the operation of the Boolean association); the systematic generalization of the concept of functions and functional dependencies participation; cognitive function; the matrix of knowledge as fuzziness with an estimated degree of truth of showing data systems arguments on the system of values of the function; modification of the method of least squares for the approximation of cognitive functions; development of the idea of the systematic generalization of mathematics in the field of information theory – system emergent information theory; information measures of the level of consistency; ratios of emergence; direct and opposite, direct and indirect logical reasoning with an estimated level of truth; intellectual system of Eidos X++ as a toolkit that implements the ideas of system of a fuzzy interval sum of mathematics
2520 kb

QUANTIFICATION OF LEVEL OF A SYSTEM, BASED ON INFORMATION MEASURES OF K.SHENNON (building rate of emergence of Shan-non)

abstract 0791205018 issue 79 pp. 248 – 303 31.05.2012 ru 1554
In the article, a text is considered as a system, which includes both verbal and nonverbal subsystems of different levels of hierarchy. System generalization of the classical Shannon measure of information in text and a quantitative measure of the level of systematic text, called the "coefficient of emergence of Shannon", which is based on it, is proposed. This article shows mathematical relationship between the obtained coefficients of emergence of Hartley in 2002 and Shannon's proposed rate of emergence. It is shown that every object of cognition can be associated with a text reflecting its composition and structure. The process of learning from this perspective is seen as a process of constructing a text object models of learning and research process of these models. The definition of procedures for encryption and decryption, as well as quantitative measures of their effectiveness based on quantitative measures systematic texts is given. From this standpoint, the relationship of encryption and decryption with zipping and unzipping is shown. We propose a computer program for the numerical measurement of systemic and specific texts of the simulated systems and present some numerical examples in this article
329 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS AS A METHOD OF COMPLEX SOLUTION OF PROBLEMS OF MANAGEMENT OF THE PERSONNEL WITH THE USE OF FUNCTIONAL-COST ANALYSIS

abstract 0961402001 issue 96 pp. 1 – 16 28.02.2014 ru 1482
The article briefly describes the essence of manage-ment, stating the goals and structure of the system of personnel management. It considers the essence of the method of functional-cost analysis (FCA) and, as a major gap, we have noted a low level of formalization, which requires the involvement of ex-perts in applying the FSA. It also specifies the difference between the cost and the cost price. We consider the decision of questions of creation of the personnel management system on the FCA basis using the method of automated system-cognitive analysis (ASA-analysis), in particular: the measurement of the severity of socio-economic and psychological proper-ties, metric scales, build intellectual measuring system, the development and application of models, providing both building occupation graphs and their application to measure the degree of compliance of the Respondent with the requirements of professional positions and to the positions including the cost of employment of personnel and resources allocated for staff on posts. The proposed approach can be applied not only at the decision of tasks of human resource management with DAF method, but when you apply the FSA in a variety of subject areas, in particular - the method of direct-Costing
3347 kb

DEVELOPMENT WITHOUT PROGRAMMING AND APPLICATION IN ADAPTIVE MODE OF THE TECHNIQUES OF REALTOR EXPRESS BENCHMARKING ASSESSMENT (COMPARATIVE SALES) IN THE SYSTEM-COGNITIVE ANALYSIS AND EIDOS INTELLECTUAL SYSTEM

abstract 0941310036 issue 94 pp. 507 – 564 27.12.2013 ru 1459
In the article on the real numerical example of pre-owned cars we show the development without programming and application in adaptive mode of realtor rapid assessment methodology for benchmarking assessment (comparative sales) using system-cognitive analysis and Eidos intellectual system. The level of complexity of required works corresponds to the laboratory work on systems of artificial intelligence and knowledge representation
4092 kb

ADAPTIVE SYNTHESIS OF INTELLIGENT MEASUREMENT SYSTEMS WITH THE USE OF ASC-ANALYSIS AND "EIDOS" SYSTEM. SYSTEM IDENTIFICATION IN ECONOMETRICS, BIOMETRICS, ECOLOGY, PEDAGOGY, PSYCHOLOGY AND MEDICINE

abstract 1161602001 issue 116 pp. 1 – 60 29.02.2016 ru 1432
The article proposes using the automated system-cognitive analysis (ASC-analysis) and its software tool, which is the system called "Eidos" for synthesis and application of adaptive intelligent measuring systems to measure values of parameters of objects, and for system state identification of complex multivariable nonlinear dynamic systems. The article briefly describes the mathematical method of ASC-analysis, implemented in the software tool – universal cognitive analytical system named "Eidos-X++". The mathematical method of ASC-analysis is based on system theory of information (STI) which was created in the conditions of implementation of program ideas of generalizations of all the concepts of mathematics, in particularly, the information theory based on the set theory, through a total replacement of the concept of “many” with the more general concept of system and detailed tracking of all the consequences of this replacement. Due to the mathematical method, which is the basis of ASC-analysis, this method is nonparametric and allows you to process comparably tens and hundreds of thousands of gradations of factors and future conditions of the control object (class) in incomplete (fragmented), noisy data numeric and non-numeric nature which are measured in different units of measurement. We provide a detailed numerical example of the application of ASC-analysis and the system of "Eidos-X++" as a synthesis of systemic-cognitive model, providing a multiparameter typization of the states of complex systems, and system identification of their states, as well as for making decisions about managing the impact of changing the composition of the control object to get its quality (level of consistency) maximally increased at minimum cost. For a numerical example of a complex system we have selected the team of the company, and its component – employees and applicants (staff). However, it must be noted that this example should be considered even wider, because the ASC-analysis and the "Eidos" system were developed and implemented in a very generalized statement, not dependent on the subject area, and can successfully be applied in other areas
448 kb

FORECASTING OF SUNFLOWER YIELD FOR THE KRASNODAR REGION WITH THE USE OF SYSTEM-COGNITIVE ANALYSIS (PART II: Formal statement of the problem and the transfor-mation of raw data into information, and infor-mation into knowledge)

abstract 0841210031 issue 84 pp. 376 – 401 28.12.2012 ru 1419
In this article, for the first time, the synthesis and veri-fication of the system-cognitive model of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region) are carried out. On the basis of the developed models, there are solved tasks: 1. Forecasting scenario of sun-flower yield for the period from 1 to 5 years. 2. The scientific study of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region)
1054 kb

SYNTHESIS OF SYSTEM-COGNOTIVE MODELS OF A NATURAL-ECONOMIC SYSTEM, ITS USE FOR FORECASTING AND MANAGEMENT IN GRAIN PRODUCTION (4 part - the research of the object of simulation through the study of its model)

abstract 0901306060 issue 90 pp. 875 – 895 30.06.2013 ru 1413
In this article, the authors have conducted a survey of the system-cognitive model for forecasting and support of decision-making of the choice of agricultural technologies in the production of grain, providing the desired economic, energetic, financial and economic results with high probability
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