Recurrent method for constructing fuzzy cognitive maps for food security assessment

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 effective...

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Main Authors: Rogachev Aleksey, Melikhova Elena
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/77/e3sconf_ersme2020_09005.pdf
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spelling doaj-90a5bed844b84d08a7d6e72dd12c34f42021-04-02T20:46:48ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012170900510.1051/e3sconf/202021709005e3sconf_ersme2020_09005Recurrent method for constructing fuzzy cognitive maps for food security assessmentRogachev AlekseyMelikhova Elena0Volgograd State Agrarian University, Department of Mathematical Modeling and InformaticsThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/77/e3sconf_ersme2020_09005.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Rogachev Aleksey
Melikhova Elena
spellingShingle Rogachev Aleksey
Melikhova Elena
Recurrent method for constructing fuzzy cognitive maps for food security assessment
E3S Web of Conferences
author_facet Rogachev Aleksey
Melikhova Elena
author_sort Rogachev Aleksey
title Recurrent method for constructing fuzzy cognitive maps for food security assessment
title_short Recurrent method for constructing fuzzy cognitive maps for food security assessment
title_full Recurrent method for constructing fuzzy cognitive maps for food security assessment
title_fullStr Recurrent method for constructing fuzzy cognitive maps for food security assessment
title_full_unstemmed Recurrent method for constructing fuzzy cognitive maps for food security assessment
title_sort recurrent method for constructing fuzzy cognitive maps for food security assessment
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description 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.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/77/e3sconf_ersme2020_09005.pdf
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