Name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 276
Initial data for designing of two-level semantic
information model of management of agro industrial holding are analyzed in the article, task of their
automatizing transformation to the form, directly sensing by the system “ AIDOS ” with the help of one of its standard interfaces is positioned and solved.
Algorithm and initial program text, providing these functions, results of its work and automatically formed handbooks of classes and factors on their base by the system “ AIDOS ”, training fetch for private models, entering the two-level semantic information model of management of agro industrial holding are casted as well.
Management problem of agro industrial holding is formulated in the article in general, from one hand, it is necessary to work out recommendations and adaptive model on holding management for it, and from other hand, designing of its model is difficult because of high complexity and dynamics of inner logistics of an management object, its territorially distributed and multi branch character, large amount of economic indexes, characterizing its activity on different levels of its organization. General method of formulated problem decision by means of systemic-cognitive approach is offered. First stage of model synthesis is described: cognitive structure formation of private models, entering its multi-level semantic information model.
Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.
In this article, the deep relationship between the theory of automated control and system-cognitive analysis and its software tools - system of "Eidos" in their application to the intelligent control of complex systems is reviewed. Offered technology allows implementing in practice the intelligent automated and even automatic control of the objects of management, for which earlier management is realized only on weak formalized level, as a rule, without the use of mathematical models and computers. Such control objects include, for example, technical systems, the full quality-changing in the process of management, biological and ecological systems, socio-economic and psychological systems
The mathematical essence of systemic information theory(STI) offered by the author is the mathematic model of systemic-cognitive analysis ( SC-analysis) realized in its programming instruments – universal cognitive analytical system “AIDOS”.
The earthquake forecast model based on the astronomical data using the artificial intelligence system is developed
Application of systemic-cognitive analysis and its
programming set of instruments of a system “AIDOS”
for synthesis and marketing research of semantic
informational model of publicity service market
(advertisers of modern glossy magazines)
of Krasnodar and Krasnodar krai are described
in this article.
In the article the technology and a technique of application of systemic-cognitive analysis and its toolkit - "Eidos" system is shown for synthesis and verification of information semantic models of time numbers (on an example of one of segments of the share market)
On the basis of semantic information models examined the dependence of parameters of seismic activity on the gravity of celestial bodies. The regional semantic information model of climate is developed
In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.