Open AccessMathematical modeling of the food-security level using a fuzzy cognitive approach
Author(s) -
Aleksey F. Rogachev,
Elena Аntamoshkina
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/403/1/012181
Subject(s) - consumption (sociology) , production (economics) , context (archaeology) , food security , computer science , fuzzy cognitive map , cognition , fuzzy logic , population , agriculture , fuzzy set , economics , artificial intelligence , fuzzy number , microeconomics , geography , psychology , social science , demography , archaeology , neuroscience , sociology
The article discusses methodological approaches to the problem of assessing the level of food security based on cognitive mathematical modeling. The feasibility of integrated accounting in the context of import substitution primarily of the production and consumption of agricultural products by the population, as well as the volume of their imports and stocks, taking into account rational consumption standards, is substantiated. It is shown that the solution to the problem of ensuring food security is possible using economic and mathematical modeling based on fuzzy production cognitive maps. It is also necessary to develop and improve methods for the intellectual analysis of relevant statistical data to predict the integral level of food security.