Scientific Journal of KubSAU

There were opened out some methods of optimal land management decision making. There was proposed a system of mathematic models on coming out of optimal forms of arable land usage. There was modeled a combinative method of land usage with regard of objects’ insurance and so on.

The analysis of activity of a sugar subcomplex has allowed to develop the specified schemes of re-structuring of the integrated industrial systems of the sugar subcomplex, the concept of interaction of objects of the integrated industrial systems of the sugar subcomplex, its information, monetary and material streams, and also to construct structure of the purposes and functions of a control system of the integrated industrial systems of the sugar subcomplex. The complex of mathematical models of costs estimation of using ground resources of the integrated industrial systems of the sugar subcomplex, the system of mathematical models of efficiency management of the integrated industrial systems of the sugar subcomplex and a quantitative technique of an estimation of activity of the integrated industrial systems of the sugar subcomplex are developed.

We discuss adaptation of mathematical model city road network equilibrium parameters. Cases of exploitation on city roads are considered as well.

In the article the development of software and its application in acceptance of the optimum administrative decisions at the agriculture enterprise is considered.

The article is devoted to analysis of integrated industrial systems activity and creation of production line model of integrated grain-processing industrial system. The scheme of material-financial streams in the integrated industrial system of wheat grain production and processing is offered.

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 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

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

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.