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 this article, the problem of short-range forecasting of the trends of economical indexes of diversified corporation is stated, on the basis of application of systemic-cognitive analysis and its tooling (intellectual system "Eidos") the formal problem definition and data domain formalization, i.e. development of classification and descriptive dials and graduations and shaping of training sample is performed
In the article, the problem of a performance evaluation of activity of municipal unions in the field of guardianship and guardianship is stated and its solution, based on application of system-cognitive analysis and its tooling ("Eidos" intellectual system) is offered. The formal problem definition and data domain formalization are fulfilled, i.e. classification and descriptive dials and their graduations are elaborated, the training sample, according to 2009-2010, is generated, synthesis and verification of four cognitive models, different by private measure of knowledge, which extend and formalize modes of a decision making of experts in the previous phase are performed. Framed models are applied to the computerized performance evaluation of operation of 43 municipal unions of Krasnodar territory in the field of guardianship and guardianship for 2011 and have yielded such outcomes of an estimate, which would be gained by experts as well, under condition of immutability of their approaches
In the article, the problem of agribusiness industry control is stated, the purposes of control and measure of its success, and also composition of the computerised management system, including control object, controlling system, informational-measuring system and also a subsystem of rendering of corrective actions are considered. What is offered: 1) the control purpose is to consider a raise of quality level of life of the population of region; 2) the capacity of measure of success of control is to consider indexes of quality level of life of the population; 3) numbers and direction of investments can be used as the controlling factor; 4) synthesis and verification of model of agrarian and industrial complex can be performed directly in a cycle of control, based on application of system-cognitive analisys (SC-analisis) and its programmatic tooling - "Eidos" intellectual system; 5) forecasting of evolution of agrarian and industrial complex and production of controlling solutions can be performed on the basis of cognitive model of agrarian and industrial complex with SC-analisis and application of "Eidos" system
In this article, on a small and evident numerical example, methodological aspects of a process engineering of detection of knowledge from the trial-and-error data explicitly are considered, representation of knowledge and its usage for problem solving of forecasting, decision making and data domain examination in system-cognitive analysis (SC-analysis) and its programmatic toolkit - intellectual "Eidos" system are shown
In this article, the routine of synthesis of four models of the corporation, different by frequent measure of correlation between past indexes of the factories entering into corporation and the future statuses of corporation as a whole is featured, verification of all private models with utilization of two integral measure is fabricated, forecasting of the future statuses of corporation on their system of determination is performed
In this article, the problem of short-range forecasting of value and dynamics of economical indexes of diversified corporation is stated, on the basis of application of systemic-cognitive analysis and its tooling (intellectual system "Eidos") the formal problem definition and data domain formalization, i.e. development of classification and descriptive dials and graduations and shaping of training sample is performed
In this article, on a small and evident numerical example, methodological aspects of a process engineering of detection of knowledge from the trial-and-error data explicitly are considered, representation of knowledge and its usage for problem solving of forecasting, decision making and data domain examination in system-cognitive analysis (SC-analysis) and its programmatic toolkit - intellectual "Eidos" system are shown
The article discusses the expansion of artificial intelli-gence "Aidos-Astra" for applications with the empirical data of high dimensionality. Application, written in the language JAVA, allows you to prepare and visualize the information content of the matrix without re-strictions imposed by the architecture of the system "Aidos-Astra "
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.
Dependence of the Earth seismic activity, magnetic field and polar motion on the sunspots number is ex-amined on the basis of semantic information models