Name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 276
The 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 information due to the cumulative effect of the incompleteness and distortion of accounting information from the enterprises in it. Under these conditions, the applied methods and tools must have high resolution and work effectively with large databases with incomplete information, ensure the 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 complex poorly formalized 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 is the subject of this work, which makes it relevant. The work aims to: 1) analyze the forecasting methods to justify the choice of system-cognitive analysis as one of the effective methods for the prediction of semi-structured tasks; 2) to adapt and develop the method of systemic-cognitive analysis for forecasting of dynamics of development of the corporation subject to the scenario approach; 3) to develop predictive model scenarios of changes in basic economic indicators of development of the corporation and to assess their credibility; 4) determine the analytical form of the dependence between past and future scenarios of various economic indicators; 5) develop analytical models weighing predictable scenarios, taking into account all prediction results with positive levels of similarity, to increase the level of reliability of forecasts; 6) to develop a calculation procedure to assess the strength of influence on the corporation (sensitivity) of its member enterprises; 7) to finalize the software tools the ask analysis to the level of information technology, given its adaptation and development to predict actions in a diversified corporation
A number of authors (Milaeva I. V., Zaitsev S. Yu., Dovzhenko N. A., Tsarkov D. V., Tsarkova M. S., 2015) have proposed a regression model and a method for indirect measurement of fat and protein content in cow's milk by its dynamic surface tension, which has a number of advantages over the traditional approach. The model reflects the objectively existing relations between the content of fat and protein in cow's milk and parameters of centigrams of dynamic surface tension at the interface of the milk/air. These relationships are revealed by the authors of the method wit mathematical processing of 112 empirical samples. For this purpose, they have applied regression and correlation analysis (in MS Excel). Since the content of fat and proteins in milk largely determines its quality, this problem refers to the problems of qualimetry. However, this problem of qualimetry also refers to typical problems of pattern recognition (multi-parameter typing and system identification), and therefore it is possible that the quality of its solution can be improved by the use of artificial intelligence methods, in particular cognitive and information technologies. Moreover, these relationships are quite complex. The use of intelligent technologies also creates additional opportunities for the study of the simulated subject area by studying its model. All this is of great scientific and practical interest for both researchers and practitioners. To solve all these problems in the work we have applied Automated System-Cognitive analysis (ASC-analysis) and its software tool which is an intelligent system called "Eidos". A numerical example based on real data has been considered in detail as well
The new methods for system-cognitive analysis to identify and present graphical visualization of causal functions from the large dimension empirical data and its software tools - «EIDOS» system are discussed.
In this article application of the method of computerized system-cognitive analysis and its programmatic tooling – system "Eidoses" for detection of cause and effect associations from the trial-and-error data is considered. In the capacity of a toolkit for the formal submission of cause and effect associations cognitive functions are tendered. Cognitive functions represent many-valued interval functions of many arguments in which one various value of function in a various degree match to various value of arguments, and the quantitative standard of this correspondence appears to be the knowledge, i.e. the information about cause and effect associations in the trial-and-error data, beneficial to a goal achievement
This article briefly reviews the classical concept of functional dependence in mathematics, determines the limitations of this concept for adequate modeling of reality and formulates the problem, consisting in search of such generalization of the concept of func-tions, which is more suitable for the adequate reflec-tion of causal relationships in the real domain. Also, it discusses theoretical and practical solving the prob-lem, consisting in: (a) we suggest the universal method of calculating the amount of information in the value of argument about the meaning of the function, i.e. cognitive functions which is independent from the subject area; b) we offer software tools: Eidos intelli-gent system, allowing in practice to carry out these calculations, i.e. to build cognitive functions based on a fragmented noisy empirical data of high dimension. We also offer the concepts of nonreducing, partially and completely reduced direct and inverse, positive and negative cognitive functions and the method of formation of reduced cognitive function, which is a generalization of known weighted least-squares meth-od on the basis of observation the amount of infor-mation in the values of the argument about the values of the functions accounting
From a huge number of the organisms inhabiting our
planet, insects make 70%, being the most numerous of
the invertebrate animal classes numbering more than 2
million types. It is difficult to find such place where it
would be impossible to meet representatives of this
huge class. They completely took over the entire environment
- water, the land, air. For them, it is the common
characteristic: complex instincts, omnivorous,
high fecundity, and for some of them – a public way of
life. Insects can be found at tremendous heights, reaching
the level of 5000 meters, and they inhabit the desert
where it practically never rains, not to mention the
absence of any vegetation. Deep caves where no sunlight,
nor the conditions for food and existence of living
organisms — it is also the habitat of insects, they
can be found far beyond the Arctic circle, and even on
many Islands of Antarctica, where in addition to lifeless
rock, it would seem that there is nothing else.
Among insects, one of the largest and most numerous
families are the ground beetles (Carabidae). They subtly
respond to changes in soil and vegetation, hydrothermal
and micro-climatic conditions of the environment,
which makes them a convenient model subject
to various environmental and Zoological researches.
Ground beetles belong to a large number of genera and
species, often difficult to see, in this regard, we use
many different signs to diagnose. We have taken into
consideration the coloration, body shape, external
structure, surface structure, size, and arrangement of
the genitals and chaetotaxy. Due to the fact, that the
number of ground beetles is enormous, and, using their
appearance, it is very difficult to determine their generic
identity, there is a need of automation of the
identification process, due to which we require a special
mechanism that would increase the accuracy of
these insects. In the previous work of the authors (http://ej.kubagro.ru/2016/05/pdf/01.pdf) we considered
the further possibility of using the method of
ASC- analysis to classify insects, not only in species
but also in genera, orders, thereby increasing the reliability
of determination of ground beetles, which will
be done in this article. A numerical example is given.
We also have gained a successful experience of solving
such problems in other subject areas. This article
can be considered as a continuation of the series of
works dedicated to governmental use of the automated
system-cognitive analysis (ASC-analysis) and its software
tools – the system of "Eidos"
The polymorphism is the diversity of varieties in ampelografy - the presence simultaneous permanent in the population of two or several phenotypic and genotype differing groups of plants of one variety – i.e. clones. In viticulture the isogenic population is usually called “clone” and variety as the total of clones or forms – i.e. it is heterogenic. Polymorphism of varieties has big practical sense, as varieties-clones have the harmonic complementary adaptive ampelocenosis and higher economical effect for production. In the article the polymorphism of two heterogenic population - the group Pinot and Riesling, which are the best specimen of French and German viticulture is described on the phenotypic level of leaves
Techniques of value analysis and "Direct-costing" are
well-known and popular. The ideas and principles of
value analysis and the method of "Direct costing" are
very similar, if not identical. On the one hand, these
ideas are very reasonable, well grounded theoretically
and proved its effectiveness in practice. On the other
hand, the wide use of these methods is hampered by
the difficulty of obtaining large amounts of detailed
technological and financial-economic information, as
well as the need for careful research by competent
professionals, well-versed in substantive subject area.
This is the contradiction between the desire to apply
the methods of the value analysis and "Direct costing"
and difficulty to perform it in practice. This
contradiction constitutes a real problem and may often
be discouraging and frustrating. In this work, we
propose a simple and effective solution to this
problem, theoretically well-informed with all the
necessary methodological and software tools and
widely and successfully tested in practice. The
proposed solution is based on two simple ideas: 1)
instead of collecting and holding a meaningful large
amount of technological and financial-economic
information we might apply approaches, pleasant
management theory; 2) to create systems for
automated control of natural and financial-economic
efficiency of expenses we might use the automated
system-cognitive analysis and its software tool – an
intellectual system called "Eidos". In the name of the
specialty 08.00.05 – Economics and national economy management, there are such words: "management of
enterprises, branches, complexes, innovation." The use
of the term "Management" implies that there is a
model that reflects the influence of factors on the
object of control, and there is the management system
making decisions based on this model. However, as a
rule, the dissertations in this field have nothing of this,
except only financial and economic calculations. The
article proposes an approach based on the control
theory, removing this disadvantage
In the article the main problem of management of agro industrial holding is generated and approaches to its decision are briefly reviewed on a basis of "management of knowledge", also a parity of data, information and knowledge, procedure of revealing of knowledge from data, a way of use of knowledge for forecasting and decision-making, stages of life cycle of the intellectual appendix and the basic results of application of the modern automated technology of management of knowledge - the Systemic cognitive analysis for management of agro industrial holding are examined
In the article the application of systemic-cognitive analysis and its mathematical model i.e. the system theory of the information and its program toolkit which is "Eidos" system for loading images from graphics files, synthesis of the generalized images of classes, their abstraction, classification of the generalized images (clusters and constructs) comparisons of concrete images with the generalized images (identification) are examined. We suggest using the theory of information for processing the data and its size for every pixel which indicates that the image is of a certain class. A numerical example is given in which on the basis of a number of specific examples of images belonging to different classes, forming generalized images of these classes, independent of their specific implementations, i.e., the "Eidoses" of these images (in the definition of Plato) – the prototypes or archetypes of images (in the definition of Jung). But the "Eidos" system provides not only the formation of prototype images, which quantitatively reflects the amount of information in the elements of specific images on their belonging to a particular proto-types, but a comparison of specific images with generic (identification) and the
generalization of pictures images with each other (classification)