Expert and analytical technologies in the sphere of agribusiness management
- DOI
- 10.2991/ispc-19.2019.80How to use a DOI?
- Keywords
- agrobusiness, digital economy, agricultural consultancy, analytical hierarchy process, analytical network process, hierarchical process, intelligent computer technology
- Abstract
An important factor for improving the efficiency of business processes in the agroindustrial complex is the use of progressive technologies of the digital economy at all levels, that include individual agricultural producers and implies an accurate work of agricultural consultancy system. However, the priority spheres of agricultural consulting, as a rule, do not affect the strategic development of the agricultural producers themselves, although the main reserves of efficiency growth are concentrated here. The article considers the possibility of using for planning economic activities of agricultural producers some intelligent technologies for making management decisions based on algorithms of the analytical hierarchy process and analytical network process. Both processes involve polling a group of experts on a predetermined hierarchical process, and all mathematical calculations are carried out automatically using specialized software tools - decision support systems (DSS) and expert analytical systems (EAS), for which DSS Expert Decide and expert and analytical system Expert Solution can be used.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vadim Shumetov AU - Alla Kolomeychenko AU - Mikhail Mikhaylov PY - 2019/06 DA - 2019/06 TI - Expert and analytical technologies in the sphere of agribusiness management BT - Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019) PB - Atlantis Press SP - 354 EP - 358 SN - 1951-6851 UR - https://doi.org/10.2991/ispc-19.2019.80 DO - 10.2991/ispc-19.2019.80 ID - Shumetov2019/06 ER -