name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
кафедра компьютерных технологий и систем
профессор
Research interests
Системно-когнитивный анализ, системы искусственного интеллекта, высшие формы сознания, перспективы человека, технологии и общества
Web site url
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 276
Сформировать список работ, опубликованных в Научном журнале КубГАУ
-
08.00.13 Mathematical and instrumental methods of Economics
DescriptionIn 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
-
Description
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
-
Description
In this article, in accordance with the methodology of the Automated system-cognitive analysis (ASCanalysis), we examine the implementation of the 1st and 2nd stages of ASC-analysis: cognitive structuring and formalization of the subject area. At the stage of cognitive structurization of subject area, researchers decide what to consider as the object of modeling, the factors affecting it and the results of their actions. In accordance with the results of the cognitive structurization, we prepare the initial database for the study (training sample or case-based reasoning). At the stage of formalization of the subject area, the base of the original data is being normalized, i.e., we develop classification and description: the scale and graduations and with their use the base of the source data is being encoded. The result is a database of events (eventological database) and the training sample. The stage of cognitive structuring and preparation of the source data is not formalized and the formalization of the subject area is fully automated and performed directly with the use of the universal cognitive analytical system named "Eidos", which is a software Toolkit for ASC-analysis. Stages of cognitive structurization and formalization of the subject area of ASC-analysis are the first steps of data conversion into information and into knowledge. Subsequent steps: the synthesis and verification of system-cognitive model, the decision of problems of identification, forecasting and decision making, as well as studies of the modeled object by studying its model will be considered in future articles
-
Description
In this article, in accordance with the methodology of the Automated system-cognitive analysis (ASCanalysis), we examine the implementation of the 3rd ASC-analysis: synthesis and verification of forecasting models of development of diversified agro-industrial corporations. In this step, we have synthesis and verification of 3 statistical and 7 system-cognitive models: ABS – matrix of the absolute frequencies, PRC1 and PRC2 – matrix of the conditional and unconditional distributions, INF1 and INF2 private criterion: the amount of knowledge based on A. Kharkevich, INF3 – private criterion: the Chi-square test: difference between the actual and the theoretically expected absolute frequencies INF4 and INF5 – private criterion: ROI - Return On Investment, INF6 and INF7 – private criterion: the difference between conditional and unconditional probability (coefficient of relationship). The reliability of the created models was assessed in accordance with the proposed metric is similar to the known F-test, but does not involve the performance of normal distribution, linearity of the object modeling, the independence and additivity acting factors. The accuracy of the obtained models was high enough to resolve the subsequent problems of identification, forecasting and decision making, as well as studies of the modeled object by studying its model, scheduled for consideration in future articles
-
Description
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
-
Description
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
-
Description
In the article the technology and a technique of application of systemic-cognitive analysis and its toolkit - "Eidoses" 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)
-
Description
In the article the technology and a technique of application of systemic-cognitive analysis and its toolkit - "Eidos" system for information semantic models of time numbers (on an example of one of segments of the share market) and uses of these models for the decision of problems of forecasting and decision-making support, and also subject domain research is examined
-
Description
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)
-
Description
Dependence of seismic activity parameters on celestial bodies’ positions is examined on the basis of semantic information models