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: 266

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827 kb

PROBLEM OF THE REFERENTIAL CLASS AND ITS CONCEPTUAL, MATHEMATICAL AND INSTRUMENTAL SOLUTION IN SYSTEMIC COGNITIVE ANALYSIS

abstract 0430809001 issue 43 pp. 1 – 47 27.11.2008 ru 2826
In the article we examine the application of the systemic cognitive analysis and the system theory of the information (STI) for the decision of a known problem of mathematical logic and the mathematical linguistics which have received the name "Problem of a referential class". There is a hypothesis that the given problem is a problem of these scientific directions and is naturally overcome in the theory and practice of systems of an artificial intellect, in particular in systemic cognitive analysis and its mathematical model of the system theory of the information.
1331 kb

PROBLEMS AND PROSPECTS OF THE THEORY AND THE METHODOLOGY OF SCIENTIFIC COGNITION AND THE AUTOMATED SYSTEM-COGNITIVE ANALYSIS AS AN AUTOMATED METHOD OF SCIENTIFIC KNOWLEDGE, PROVIDING MEANINGFUL PHENOMENOLOGICAL MODELING

abstract 1271703001 issue 127 pp. 1 – 60 31.03.2017 ru 480
In the author's interpretation we consider concepts and methods of science, such as science, knowledge, model, gnosticism and agnosticism, the principle of Ashby, facts, empirical regularity, empirical law, scientific law, and others. We have formulated the main problem of the science, concluding that cognitive abilities of a human are limited and do not provide effective knowledge in a very large volume of data. The solution to this problem is to look at ways of automation of scientific research. Traditionally, we use information-measuring systems and automated systems research (ASNI) for this. However, the mathematical methods used in these systems, impose strict impracticable requirements to the source data, which dramatically reduces the effectiveness and applicability of these systems in practice. Instead of having to submit to the source data impracticable requirements (like the normality of the distribution, absolute accuracy and complete replications of all combinations of values of factors and their full independence and additivity) automated system-cognitive analysis (ASC-analysis) offers (without any pre-processing) to understand the data and thereby convert them into information and then convert this information to knowledge by its application to achieve targets (i.e. for controlling) and for solution for problems of classification, decision support and meaningful empirical research of the modeled subject area. ASC-analysis is a systematic analysis, considered as a method of scientific cognition. This is a highly automated method of scientific knowledge that has its own developed and constantly improving software tool – an intellectual system called "Eidos". The system of "Eidos" has been developed in a generic setting, independent of any domain and can be applied in all subject areas, in which people apply their natural intelligence. The "Eidos" system is a tool of cognition, which greatly increases the possibility of natural intelligence, just like microscopes and telescopes multiply the possibilities of vision (but in this case only if you have this possibility). The study proposes a new view of the models: phenomenological meaningful model, which is currently represented only by systemic cognitive models, and which is currently in the middle between empirical and theoretical knowledge. The system called "Eidos" is considered as a tool of automation of the learning process, providing meaningful synthesis of phenomenological models directly on the basis of empirical data
576 kb

PROGNOSIS OF GRAINS YIELDING AND SUPPORT OF DECISIONS TAKING ON RATIONAL CHOICE OF AGRO TECHNOLOGIES WITH APPLICATION OF SС-ANALYSIS

abstract 0380804007 issue 38 pp. 101 – 126 29.04.2008 ru 3623
Prognosis of industrial results of some or other agro technologies application and support of decision taking by choice of such varieties of grains and rational agro technologies for their cultivation, which with most probability would show the given desirable industrial result in advance are cited in the article.
583 kb

PROGNOSIS OF RISKS OF CAR INSURANCE KASKO WITH THE APPLICATION OF SYSTEMIC-COGNITIVE ANALYSIS

abstract 0400806011 issue 40 pp. 91 – 104 25.06.2008 ru 3537
Application of systemic-cognitive analysis and its programming set of instruments of the system “AIDOS” for synthesis of a semantic informational model, taking into account the influence of different factors on sums of insurance payments of car insurance KASKO and use of this model for prognosis of insurance payments sums is described in the article.
287 kb

PROGRAMMING IDEA OF SYSTEMIC GENERALIZATION OF MATHEMATICS AND ITS APPLICATION FOR CREATION OF SYSTEMIC INFORMATION THEORY

abstract 0360802011 issue 36 pp. 175 – 192 29.02.2008 ru 3557
Programming idea of systemic generalization of mathematics, essence of which consists of total change of meaning “set” on more common meaning “system” and tracing of all consequences of it is formulated and generalized in the article. Observance of adequacy principle, which is mandatory for more common theory is provided under it, because a system with zero level of systemic character is set. Expanded example of realization of this programming idea as a systemic information theory, which is systemic generalization of information theory of Nikewest-Boltzman-Hartley-Shannon and semantic information theory of Kharkevich , which was offered by the author, is brought.
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 1371
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
1274 kb

QUANTIFICATION OF THE DEGREE OF MANIPULATION OF THE H-INDEX AND ITS MODIFICATION RESISTANT TO MANIPULATION

abstract 1211607005 issue 121 pp. 202 – 234 30.09.2016 ru 809
In the USSR higher attestation Commission from 1975 to the collapse of the USSR was subordinated not to the Ministry of education and science, but to the Council of Ministers of the USSR directly. However, since then there is a steady trend of gradual reduction of the status of the Commission. Today it is not just included in the Ministry of education, it is just one of the units of one of its structures: the Rosobrnadzor. Reduced status of the HAC inevitably leads to a decline in the status and in the adequacy of scientific degrees assigned as well as scientific ranks. This process of devaluation of traditional academic degrees and titles assigned to the HAC, has reached the point when a few years ago there were abolished salary increments for them. Now, instead of that, every university and research institutes have developed their local, i.e. non-comparable with each other scientometric methods of evaluation of the results of scientific and teaching activities. Despite the diversity of these techniques, there is a common thing among all of them, which is the disproportionate role of the h-index. The value of the Hirsch index starts to play an important role in the protection, when considering competitive cases for positions, as well as in determining the monthly rewards for the results of scientific and teaching activities. By itself, this index is well founded, theoretically. However, in connection with the practice of its application in our conditions, in the collective consciousness of the scientific community there was a kind of mania, which the authors call the "Hirschmania". This mania is characterized by elevated unhealthy interest to the value of the Hirsch index, as well as incorrect manipulation of its value, i.e. inadequate artificial exaggeration of this value, as well as a number of negative consequences of that interest. In this study we have made an attempt to construct a quantitative measure for assessing the extent of improper manipulation of the value of the Hirsch index, and offered a science-based modification of the h-index, insensitive (resistant) to the manipulation. The article presents a technique for all the numerical calculations, which is simple enough for any author to use
2690 kb

QUANTITATIVE AUTOMATED SWOT AND PEST ANALYSIS USING ASC-ANALYSIS AND "EIDOS X++" INTELLIGENT SYSTEMS

abstract 1011407090 issue 101 pp. 1367 – 1409 30.09.2014 ru 2282
SWOT analysis is a widely known and generally accepted method of strategic planning. However, this does not preclude the fact that it’s been criticized, often quite fair and well-reasoned. A critical review of the SWOT analysis revealed quite a lot of his weaknesses (disadvantages), the source of which is the need to engage experts, in particular to assess the strength and direction of influence factors. It is clear that the experts do it by the informal (intuitive), on the basis of their professional experience and competence. But experts have their limitations and often for various reasons they can't and don't want to do it. Thus, the problem arises of the SWOT-analysis, without the involvement of experts. This problem can be solved through automation of the functions of the expert, i.e. by measuring the strength and direction of influence factors directly based on empirical data. This technology was developed long time ago, it is already 30 years old, it was named "Eidos". This article on real numerical examples describes in detail the possibility of automated quantitative SWOT analysis by means of ASC-analysis and intelligent systems of "Eidos X++" without help of experts, when the estimations are based directly on empirical data. We have also proposed a solution of direct and inverse problems of the SWOT analysis. PEST analysis has been considered as a SWOT analysis, with more detailed classification of external factors. Therefore, the conclusions obtained in this article on the example of SWOT analysis can be extended to PEST-analysis
3818 kb

QUANTITATIVE MEASUREMENT OF THE SIMILARITIES AND DIFFERENCES OF CLONES OF GRAPES USING CONTOURS OF LEAVES WITH THE USE OF ASC-ANALYSIS AND "EIDOS" SYSTEM

abstract 1161602077 issue 116 pp. 1200 – 1223 29.02.2016 ru 542
The article discusses the application of automated system-cognitive analysis (ASC-analysis), its mathematical model is a system of information theory and implements, its software tools – intellectual system called "Eidos" for solving one of the important tasks of ampelography: to quantify the similarities and differences of different clones of grapes using contours of the leaves. To solve this task we perform the following steps: 1) digitization of scanned images of the leaves and creation their mathematical models; 2) formation mathematical models of specific leaves with the application of information theory; 3) modeling the generalized images of leaves of different clones on the basis of specific leaves (multiparameter typing); 4) verification of the model by identifying specific leaf images with generic clones, i.e., classes (system identification); 5) quantification of the similarities and differences of the clones, i.e. cluster-constructive analysis of generalized images of leaves of various clones. The specific shape of the contour of the leaf is regarded as noise information on the clone to which it relates, including information about the true shape of a leaf of this clone (clean signal) and noise, which distort the real shape, due to the random influence of the environment. Software tools of ASA-analysis which is intellectual "Eidos" system provides the noise suppression and the detection of a signal about the true shape of a leaf of each clone on the basis of a number of noisy concrete examples of the leaves of this clone. This creates a single image of the shape of the leaf of each clone, independent of their specific implementations, i.e. "Eidos" of these images (in the sense of Plato) - the prototype or archetype (in the Jungian sense) of the images
14854 kb

REALIZATION OF TESTS AND SUPERTESTS FOR VETERINARY AND MEDICAL DIAGNOSTICS IN THE EIDOS-X++ SYSTEM OF ARTIFICIAL INTELLIGENCE WITHOUT PROGRAMMING

abstract 0891305014 issue 89 pp. 167 – 207 29.05.2013 ru 697
The article considers the application of Eidos intellectual technologies for implementation of developed veterinary and medical diagnostics statistical tests without programming in the convenient form for the individual and mass testing, the analysis of the results and development of the individual and group recommendations. It is possible to merge several tests in one supertest
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