Name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 276
Dependence of the Earth polar motion on celestial bodies’ positions is examined on the basis of semantic information models
In the article the possibility of restoration of values of one-dimensional and two-dimensional functions both between values of argument (interpolation), and behind their limits (extrapolation) on the basis of use of the aprioristic information on interrelation between signs of argument and values of function in reference points with use of systemic-cognitive analysis and its toolkit - "Eidos" system is discussed. Numerical examples and visualisation of results are resulted
In the article application of systemic-cognitive analysis, its mathematical model - the system theory of the information and program toolkit - systems "Eidoses" for 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
Dependence of seismic activity parameters on celestial bodies’ positions is examined on the basis of semantic information models
The purpose of the article is to use automated system-cognitive analysis (ASC-analysis) to study the impact of agrotechnological factors on the yield and quality of wheat and the use of the created models to solve the problems of forecasting, decision support and research of the simulated domain through the study of its model. To achieve this goal, the following tasks are set and solved, obtained by decomposition of the goal and are the stages of its achievement: Task 1: to formulate the idea and concept of solving the problem; Task 2: to justify the choice of method and tool for solving the problem; Task 3: to apply the selected method and tool to achieve this goal: cognitive structuring of the subject area; formalization of the subject area; synthesis and verification of the model; improving the quality of the model and the choice of the most reliable model; solution in the most reliable model of diagnostic problems (classification, recognition, identification), decision support and research of the simulated subject area by studying its model. Task 4: describe the effectiveness of the proposed solution. Task 5: to consider the limitations and shortcomings of the proposed solution to the problem and the prospects for its development by overcoming these limitations and shortcomings. A detailed numerical example of solving the problems based on 217 real examples of wheat cultivation in the fields of the Krasnodar region is given. For readers, it is possible to download this numerical example and install it on your computer to study
The performance indicators of a trading company in
physical and monetary terms is significantly affected
by the types and volumes of purchased and sold
products, and which she purchased suppliers and the
consumers sold. However, the solution to the problem
of choosing the rational range of products faces
considerable cost of computational and human
resources, and lack of baseline data, and in real
dimensions this problem has no solution. The paper
proposes such a solution is very economical in costs of
different types of resources based on the application of
information theory, cognitive and control theory
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.
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.
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 previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, synthesis and verification of system-cognitive models, predicting the impact of nomenclature and sales volumes on the profit and profitability of the trading company, decision support for the selection of such nomenclature and sales volumes, which cause a given target profit and profitability of the company. This work is devoted to the study of the simulated subject area by studying its SC-model