E3S Web Conf.
Volume 217, 2020International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2020)
|Number of page(s)||6|
|Section||Agricultural and Food Economics|
|Published online||14 December 2020|
Recurrent method for constructing fuzzy cognitive maps for food security assessment
1 Volgograd State Agrarian University, Department of Mathematical Modeling and Informatics, Volgograd, av. Universitetsky, 26, Russian Federation
2 All-Russian research Institute of irrigated agriculture, Volgograd, str. Timiryazeva, 9, Russian Federation
* Corresponding author: email@example.com
The advantages and limitations of algorithms and tools for supporting the procedure for assessing the level of regional food security based on a cognitive approach based on the construction of fuzzy cognitive maps (FCM) are considered. The results of the analysis of basic problems that are effectively solved using the mathematical apparatus of FCM research and problems that arise in this case are presented. The functional capabilities of tools that support the procedure for assessing the level of food security are analyzed. The article presents a method for recurrent construction of NC by consistently adding new concepts and re-evaluating the value of their mutual influence by experts. Recommendations on the choice of tools for solving the problem of assessing the level of regional food security, taking into account a number of economic and organizational groups of factors, are presented.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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