Entropy approach to the evaluation of the integration processes in agro-industrial complex

International Scientific Conference «AGRITECH-2019: Agribusiness, Environmental Engineering and Biotechnologies»

农业科学;生态环境科学;生物科学

Dulesov, A.S.^1 ; Karandeev, D.J.^1 ; Krasnova, T.G.^1 ; Bazhenov, R.I.^2 ; Kochetkov, V.P.^3

Katanov Khakass State University, 92, Lenina ave., Abakan

655017, Russia^1

Sholom-Aleichem Priamursky State University, 70A, Shirokaya street, Birobidzhan

679015, Russia^2

Khakas Technical Institute, Siberian Federal University, 15, Komarova ave., Abakan

655017, Russia^3

关键词: Agro-industrial complex;    Analytical studies;    Integration process;    Kullback Leibler divergence;    Measure of information;    Measure of uncertainty;    Network structures;    Research structure;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/315/3/032007/pdf
DOI  :  10.1088/1755-1315/315/3/032007

来源: IOP

【 摘 要 】

The possibilities of assessing the integration processes in agro-industrial complex are considered. Preference is given to the study of the influence of network research structures for obtaining, processing and transformation of information. The necessity of development of system recommendations taking into account theoretical achievements and analytical studies based on network analysis and the concept of entropy is indicated. The main directions in the study of integration processes based on the construction and analysis of network structures are briefly considered. The main attention is paid to the entropy approach of evaluation of integration processes. Interpretations of the measure of information uncertainty (entropy) are proposed in order to perform network analysis. Among the preferred models to determine the amount of entropy, the following are proposed: K. Shannon's measure of uncertainty; cross-entropy and Kullback-Leibler divergence.