RECURRENT METHOD FOR CONSTRUCTING FUZZY COGNITIVE MAPS FOR FOOD SECURITY ASSESSMENT


Aleksey Rogachev, Elena Melikhova, Tatiana Pleschenko

Abstract: Assessing and ensuring food security (FS) taking into account the quality of life (QL) of the population is one of the most important problems of economic security. The problem of integral estimation of the FS level can be solved by developing a family of fuzzy cognitive maps (FCM). The purpose of the article is to build such models. The FCM algorithmic core is consistently supplemented with new concepts, such as generalized QL. At each iteration, the values of the weights corresponding to the new configuration of the modified FCM graph are revised. The conceptual model of cognitive modeling FS is constructed in accordance with the identified criteria of food security, including production; consumption, QL, level of infrastructure provision and import. The constructed model allows us to evaluate the impact of additional concepts, including QL, on the evolution of the integral FS level.

Keywords: Food Security; Quality of Life; Fuzzy Cognitive Systems; Forecasting; Matrix Cognitive Models; Import Substitution

DOI: 10.24874/IJQR16.01-07

Recieved: 18.04.2021  Accepted: 21.10.2021  UDC: 338.439.5

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