#### Name

Lutsenko Yevgeniy Veniaminovich

#### Scholastic degree

•

#### Academic rank

professor

#### Honorary rank

â€”

#### Organization, job position

Kuban State Agrarian University

#### Web site url

## Articles count: 271

The article basically formulates the problem of effective forecasting of results and acceptance - making on the choice of agricultural technologies to produce the desired result. We have offered and proved the possi-bility of forecasting and management in grain production through the application of artificial intelligence technologies, in particular - the method of systemic cognitive analysis

The article describes a software interface with the universal cognitive analytical system "Eidos-X++" ensuring the transformation of character, in particular â€“ the numerical series in a form that is directly perceived by this system. As a result, the system can contain 3 statistical and 7 intellectual models of the series, which highlights the relationship between the characters or numbers in these lines. To reflect the relationships between the characters we used the same private and integral data of the automated system of cognitive analysis (ASC-analysis), and in the reflection of reasons-and-effect relationships between events in the real area that has not previously been used in the theory of numbers. The article provides a detailed numerical examples of such studies on the example of the identification of relationships between numbers that represent the decimal digits of the PI number, in the example we use one million digits of the PI number after the decimal point

The models that quantify the investment efficiency of horizontal and technologically (vertically) integrated systems, as well as agro-industrial group that include both the technological verticals of recycling enterprises and the horizontal integration of agribusinesses companies are presented

The article considers measuring scales as a tool for creating formal models of real objects and a tool for increasing the degree of formalization of these models to a level sufficient to implement them on computers.
It also describes the different types of measuring scales, allowing to create models of varying degrees of formalization; lists the types of transformation valid during the processing of empirical data obtained with scales of different types; develops the task of metriza-tion of the scales, i.e. conversion to the most formalized mind; it proposes 7 ways of metrization of all the types of scales, providing a joint comparable quantitative processing of heterogeneous factors measured in different units of measure due to the conversion of all scales to one universal unit of measurement in which the measurement number of information is selected. All of these methods of metrization have been implemented in the system-cognitive analysis and in the Eidos intellectual system

This article briefly reviews the classical concept of functional dependence in mathematics, determines the limitations of this concept for adequate modeling of reality and formulates the problem, consisting in search of such generalization of the concept of func-tions, which is more suitable for the adequate reflec-tion of causal relationships in the real domain. Also, it discusses theoretical and practical solving the prob-lem, consisting in: (a) we suggest the universal method of calculating the amount of information in the value of argument about the meaning of the function, i.e. cognitive functions which is independent from the subject area; b) we offer software tools: Eidos intelli-gent system, allowing in practice to carry out these calculations, i.e. to build cognitive functions based on a fragmented noisy empirical data of high dimension. We also offer the concepts of nonreducing, partially and completely reduced direct and inverse, positive and negative cognitive functions and the method of formation of reduced cognitive function, which is a generalization of known weighted least-squares meth-od on the basis of observation the amount of infor-mation in the values of the argument about the values of the functions accounting

This article describes the system-cognitive approach to an investment management of agribusiness at the regional level in order to improve the quality of life. The possibility of the practical application of the proposed quantitative integral criterion of the quality of life for the identification year study period, and obtained influence functions volume and direction of investment in the value of the integral criterion and partial criteria of quality of life in the region is presented. The results open the possibility of scientific study recommendations on the structure and terms of investments, the most effective impact on improving the quality of life of the region

In the article, we proposed the fundamental mathematical support of the state investment management of the agricultural production at the regional level, the content of which is determined by the next run of the development: the structure of the investment mechanism of farm management, hierarchy and relationship models and stages of the investment management of agricultural production; models preliminary comparative evaluation of agricultural enterprises - participants of the investment process, models and algorithms investment and resource optimization of the industrial structure of agricultural enterprises; models final selection of participants implementation of public investment programs and the distribution of funds

The processing complex of a region is considered as a multi-level hierarchical active reflective system, which is the object of intellectual control. The economic stability of the regional processing complex is considered as one of the most important because of its characteristics, as they considerably affect the quantitative and the qualitative results of the work. The system-cognitive approach to the construction and verification of the system of intellectual models of processing of the regional complex is implemented. We have selected the most adequate model of the processing complex of the region, in which we explore the issues of management of its economic stability

The article describes the application of the Eidos intellectual technologies for the implementation of already developed psychological, pedagogical and profession oriented tests and super tests without programming in the form, convenient for mass testing, for the analysis of the results and the formulation of individual rec-ommendations

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