Name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 271
Examples of setting and solving of prognosis tasks and support of decision takings (management) for agro industrial holding on the base of its two-level semantic informational model are casted.
Methodology of using systemic cognitive analysis for building multi-level semantic information model of agro-industrial holding management is formulated in the article in general. Based on this, solutions of forecasting problems and support of decision-making process of management and scientific researches are listed
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.
In article the parallel between the doctrine of Ancient Greek philosopher Platon about Eidoses and the sys-temic cognitive analysis (SCA) with its toolkit: Eidos system is drawn. It is shown that the SCA supposes substantial interpretation in the light of Platon's doc-trine about Eidoses. Eidos system realizes mathemat-ical model of the SCA, carries out operations of res-toration of Eidoses on the basis of their concrete rea-lizations in the form of objects, allows to estimate what realization of Eidoses the given concrete objects are, and also provides research of systems of Eidoses similar with each other (their clusters) and systems of the most various Eidoses clusters among themselves, i.e. constructs.
In article the main problem of management of agro industrial holding is formulated and the basic results of its solution on the basis of application of the modern automated technology of management by knowledge, i.e. systemic-cognitive analysis (SC-analysis) are shown. The technology of cognitive functions of SC-analysis, providing both revealing of knowledge from empirical data, and use of this knowledge for decision-making support of management of holding as a whole, on the basis of management of characteristics of the sub-enterprises, is examined in details
We study the correlation between the stock index S & P 500 with the parameters of seismic activity, the position of celestial bodies and shifts the geographic and magnetic poles
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 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 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.
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.