Scientific Journal of KubSAU

The article defines the problem and the points of socio-economic systems in the agro-industrial complex (APC) and proposes using automated system-cognitive analysis (ASCA). The solution to this problem is shown as an example of an integrated multi-industrial agricultural system (IMPI APC). Theoretical basis, mathematical model, technique of numerical calculations and software tools of ASC-analysis, and the main results and prospects of its application to control the

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

The article describes the fuzzy-multiple approach and the block of fuzzy (interval) mathematical models developed by the authors for calculating the amounts of material and financial flows, prices for bread and economic efficiency in a technologically integrated bread production system

Augmented reality offers unique ways to display visual information, in particular the visualization of threedimensional objects. With AR object can be visualized directly in the context of its operation. As an example can be a piece of furniture rendered in the interior, plants in the garden, the architectural object in the landscape. Modern consumer devices such as smartphones and tablet computers, as well as the algorithmic base lead to the possibility of augmented reality mass usage. The concept of augmented reality offers a better user interface for visualization through a combination of methods of controls and visualization. The camera angle can be controlled by user’s head or device movements, which is intuitive and efficient. Method of visualization of three-dimensional object by combining its image with the surrounding environment allows better perceiving the object, its dimensions, and material properties. In contrast to the traditional visualization approaches, AR does not require modeling of the environment. Objects visualization by means of AR can be applied to customer decision support while buying products. The user is provided with the ability to visualize an object in interior or outdoors, where he plans to place it, and interactively examine the object from any angle. This article attempts to systemize possible options for interaction with potential buyers through applications with augmented reality technology

The application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of information due to the cumulative effect of the incompleteness and distortion of accounting information from the enterprises in it. Under these conditions, the applied methods and tools must have high resolution and work effectively with large databases with incomplete information, ensure the correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with complex poorly formalized tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This is the subject of this work, which makes it relevant. The work aims to: 1) analyze the forecasting methods to justify the choice of system-cognitive analysis as one of the effective methods for the prediction of semi-structured tasks; 2) to adapt and develop the method of systemic-cognitive analysis for forecasting of dynamics of development of the corporation subject to the scenario approach; 3) to develop predictive model scenarios of changes in basic economic indicators of development of the corporation and to assess their credibility; 4) determine the analytical form of the dependence between past and future scenarios of various economic indicators; 5) develop analytical models weighing predictable scenarios, taking into account all prediction results with positive levels of similarity, to increase the level of reliability of forecasts; 6) to develop a calculation procedure to assess the strength of influence on the corporation (sensitivity) of its member enterprises; 7) to finalize the software tools the ask analysis to the level of information technology, given its adaptation and development to predict actions in a diversified corporation

One of the most popular methodologies of credit indebtedness management is used by banks, financial institutions and the collection agency has been considered in this article based on the experiment. This experiment demonstrates the methods of estimations of the client’s solvency and the way to impact to debitors. The article is accompanied with explanations and conclusion

In the article the results of the comparative analysis of economic efficiency of integrated and disintegrated systems of grain manufacture, its processing and realization of bread are shown

The article presents the results of further research of a streaming scheme of interaction between agricultural (AGC) and processing (PP) agricultural enterprises. Mathematical models were developed and the results were shown for a quantitative comparative evaluation of the efficiencies of the combined company (AGC + PP) and processing (PP) agricultural companies

The article presents the results of the economic-mathematical modeling of the processes of evaluating the effectiveness of agricultural lending to small enterprises. It also describes the structure and the composition of the complex models and the numerical methods designed for this purpose

This article briefly describes the proposed by the authors mathematical models of the integrated production system for the processing of wheat grain, united in two blocks – the block of deterministic models and the block of stochastic and fuzzy models