#### Name

Lutsenko Yevgeniy Veniaminovich

#### Scholastic degree

•

#### Academic rank

professor

#### Honorary rank

—

#### Organization, job position

Kuban State Agrarian University

#### Web site url

## Articles count: 276

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.

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

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.

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.

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.

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

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

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

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

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

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