Agroindustrial complex system: methods of obtaining, analysis and processing of expert information

Baikal state University, Irkutsk, Russia

^* Corresponding author: rasp77@mail.ru

Abstract

Methods for obtaining, analyzing and processing expert information in the system of the agro-industrial complex are of great and ever increasing importance. Moreover, the subsystem of expert information is constantly evolving as a result of the qualitative growth of information and communication technologies and the improvement of the methodological and methodological apparatus of organizing and conducting examinations. Nevertheless, the potential and aggregate possible subsystems of expert information are not used effectively enough due to various reasons, both objective and subjective. The main purpose of the expert information subsystem is to organize and conduct examinations that ensure a high professional level of decision-making in the system of the agro-industrial complex at different levels of management. The research methodology is based on the selective application of system analysis methods aimed at studying complex objects and processes of the agro-industrial complex system, with the predominant use of expert assessment methods. In the process of the first stage of the study of the expert and information subsystem of the agro-industrial complex, based on the method of passive examination in the context of the agricultural digitalization project, a digraph of the structure of the problem field of digitalization was developed, which clearly reflects the interconnections and interactions of individual structural elements of the agro-industrial complex. A scheme for a multistage examination of the problem of digitalization of the regional system of the agro-industrial complex has been developed, an algorithm has been developed for the subsystem of expert information of the agro-industrial complex in the form of a tree-like digraph, reflecting the functional structure of the subsystem. This will allow in the future, with the active use of the developed algorithm for the optimal functioning of the subsystem of expert information of the agro-industrial complex, to ensure high efficiency of the decisions made and the transition to cognitive models of system control.