name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
кафедра компьютерных технологий и систем
профессор
Research interests
Системно-когнитивный анализ, системы искусственного интеллекта, высшие формы сознания, перспективы человека, технологии и общества
Web site url
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 276
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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01.00.00 Physical-mathematical sciences
Description
Adequate and effective assessment of the efficiency, effectiveness and the quality of scientific activities of specific scientists and research teams is crucial for any information society and a society based on knowledge. The solution to this problem is the subject of scientometrics and its purpose. The current stage of development scientometrics differs greatly from his previous appearance in the open as well as paid on-line access to huge amount of detailed data on a large number of indicators on individual authors and on scientific organizations and universities. The world has well-known bibliographic databases: Web of Science, Scopus, Astrophysics Data System, PubMed, MathSciNet, zbMATH, Chemical Abstracts, Springer, Agris, or GeoRef. In Russia, it is primarily the Russian scientific citing index (RSCI). RSCI is a national information-analytical system, accumulating more than 9 million publications of Russian scientists, as well as the information about citation of these publications from more than 6,000 Russian journals. There is too much information; it is so-called "Big data". But the problem is how to make sense of these large data, more precisely, to identify the meaning of scientometric indicators) and thus to convert them into great information ("great information"), and then apply this information to achieve the objective of scientometrics, i.e. to transform it into a lot of knowledge ("great knowledge") about the specific scientists and research teams. The solution to this problem is creating a "Scientific smart metering system" based on the use of the automated system-cognitive analysis and its software tools – an intellectual system called "Eidos". The article provides a numerical example of the creation and application of Scientometric intelligent measurement system based on a small amount of real scientific data that are publicly available using free on-line access to the RSCI
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Description
The idea of systemic generalization of mathematics was substantiated by the author and the first step on its realization was done: variant of systemic information theory was proposed. There was done an attempt to do the second step in the same way: one of the possible approaches to the systemic generalization of mathematic understanding of set on the conceptual level, namely the approach, based on systemic information theory. It is supposed that this approach can become the basic one for systemic generalization of set theory and creation of mathematic theory of systems.
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Description
The idea of systemic generalization of mathematics was substantiated by the author and the first step on its realization was done: variant of systemic information theory was proposed. There was done an attempt to do the second step in the same way: one of the possible approaches to the systemic generalization of mathematic understanding of set on the conceptual level, namely the approach, based on systemic information theory. It is supposed that this approach can become the basic one for systemic generalization of set theory and creation of mathematic theory of systems.
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01.00.00 Physical-mathematical sciences
Description
Classic quantitative measure of the reliability of the models: F-measure by van Rijsbergen is based on counting the total number of correctly and incorrectly classified and not classified objects in the training sample. In multiclass classification systems, the facility can simultaneously apply to multiple classes. Accordingly, when the synthesis of the model description is used for formation of generalized images of many of the classes it belongs to. When using the model for classification, it is determined by the degree of similarity or divergence of the object with all classes, and a true-positive decision may be the membership of the object to several classes. The result of this classification may be that the object is not just rightly or wrongly relates or does not relate to different classes, both in the classical F-measure, but rightly or wrongly relates or does not relate to them in varying degrees. However, the classic F-measure does not count the fact that the object may in fact simultaneously belongs to multiple classes (multicrossover) and the fact that the classification result can be obtained with a different degree of similarity-differences of object classes (blurring). In the numerical example, the author states that with true-positive and true-negative decisions, the module similarities-differences of the object classes are much higher than for false-positive and false-negative decisions. It would therefore be rational to the extent that the reliability of the model to take into account not just the fact of true or false positive or negative decisions, but also to take into account the degree of confidence of the classifier in these decisions. In the intellectual system called "Eidos", which is a software toolkit for the automated system-cognitive analysis (ASC-analysis), we use initially proposed by its developers measure of the reliability of the models, which is essentially a fuzzy multiclass generalization of the classical F-measure (it is proposed to call it the L-measure). In this article, L-measure is mathematically described and its application is demonstrated on a simple numerical example
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01.00.00 Physical-mathematical sciences
Description
In the article general mathematical expression for a quantitative assessment of system (synergetic) effect, arising when integrating buleans (systems), being a generalization of sets in system generalization of the theory of varieties and independent of an expedient (algorithm) of formation of subsystems in system is offered. For this quantitative standard the name is offered: «Generalized coefficient of emergence by R.Hartli» because of likeness of its mathematical shape to the local coefficient of emergence of Hartli, reflecting a degree of difference of system from the variety of its base devices. For local coefficient of emergence of Hartli, the generalization independent of an expedient (algorithm) of formation of subsystems in system is offered. Numerical estimates of system's effect are given at integrating of two systems with ap-plication of the author's program to which the refer-ence is given
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Description
To increase the validity of conclusions about the impact of the environment on the quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases are needed to be handled not just together, but in a comparable form approach, including technology and methodology, and to be implemented in one software system. For the first time in the environmental studies, it has been planned to be done with the application of the ASK-analysis and the system called "Eidos". Previously, the authors have set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of a research method; as well as the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy. This work contains a description of the basic data sources for the study of the impact of environmental factors on various aspects of quality of life of the region's population, the source data for this study, the characteristics of the original data, substantiation of requirements to the method of research, choosing research methods appropriate to requirements; the development of steps to achieve the objectives of the study
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THE RATIONALE FOR SELECTING THE METHOD OF FORECASTING THE DEVELOPMENT OF A DIVERSIFIED CORPORATION
Description
Application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of the information due to the cumulative effect of the incompleteness and distortion of accounting information from its enterprises. Under these conditions, the applied methods and tools must have high resolution and to work effectively with large databases with incomplete information, to ensure correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with poorly formalized complex tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This article compares methods of forecasting and encourages using the ask analysis which has a good theoretical justification for the meaningful interpretation of a knowledge model based on information theory; high accuracy and independence of calculation results of the unit of measurement baseline data through the use of not the correlation matrix, as in statistical systems, and matrices of knowledge. A well-developed and available Toolkit of the ASK-analysis which is an intellectual system called "Eidos" (created by E. V. Lutsenko, 1994) allows, on the basis of fragmented, noisy source data of various nature (numeric, text) to create models of large dimension. The ASK-analysis and the system of "Eidos" have been widely and successfully used in economics, engineering, agriculture, sociology and other fields. These features of the ASK-analysis have led to the fact that it was chosen as the method of forecasting of dynamics of indicators of the corporation
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05.13.10 Management in social and economic systems
Description
One of the key problems facing medicine is the correct diagnosis given in a timely manner. For all the existence of medicine, humanity has accumulated a lot of knowledge in this area. According to this knowledge, new specialists are trained. But there is so much information that it is sometimes impossible to find the right information in it in time, and this can cost the person who came to see a doctor very expensive. In this specialist comes to the rescue computer. Information technologies, training in information bases perfectly cope with the task of identifying the disease and providing the most appropriate information
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Description
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
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Description
In this article, the routine of synthesis of four models of the corporation, different by frequent measure of correlation between past indexes of the factories entering into corporation and the future statuses of corporation as a whole is featured, verification of all private models with utilization of two integral measure is fabricated, forecasting of the future statuses of corporation on their system of determination is performed
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