Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps
Agricultural sustainability is a complex system influenced by interconnected environmental, economic, and sociocultural factors, whose relationships are often marked by uncertainty. This study addresses the interdependence of these factors using Neutrosophic Cognitive Maps (NCMs), a methodology capa...
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| Format: | Article |
| Language: | English |
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University of New Mexico
2025-05-01
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| Series: | Neutrosophic Sets and Systems |
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| Online Access: | https://fs.unm.edu/NSS/26.DynamicsNeutrosophicCognitiveMaps.pdf |
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| author | Carlos Balmaseda -Espinosa Oscar Caicedo-Camposano Nadia Quevedo-Pinos Dacil González-González |
| author_facet | Carlos Balmaseda -Espinosa Oscar Caicedo-Camposano Nadia Quevedo-Pinos Dacil González-González |
| author_sort | Carlos Balmaseda -Espinosa |
| collection | DOAJ |
| description | Agricultural sustainability is a complex system influenced by interconnected environmental, economic, and sociocultural factors, whose relationships are often marked by uncertainty. This study addresses the interdependence of these factors using Neutrosophic Cognitive Maps (NCMs), a methodology capable of modeling causality in complex systems by incorporating degrees of truth, falsity, and indeterminacy. Twelve key indicators across the three dimensions of sustainability were selected, and an NCM was constructed based on expert criteria to visualize and analyze their dynamic interactions. Centrality analysis, following a de-neutrosophication process, revealed that sociocultural indicators, specifically the well-being of the agricultural community (X12) and the preservation of traditional knowledge (X11), along with economic resilience to shocks (X8), possess the greatest influence within the system. Findings underscore the strong interconnection between dimensions, highlighting, for example, the positive influence of traditional knowledge on biodiversity (X1) and the tension between productivity (X5) and natural resources (X2, X3) if not managed sustainably. The research demonstrates the utility of NCMs for capturing the complexity and uncertainty inherent in agricultural sustainability and offers a basis for developing more integrated and adaptive strategies and policies, recognizing the fundamental role of sociocultural dynamics and economic resilience. |
| format | Article |
| id | doaj-art-54c0a68eefbc407784f323b1122da4ba |
| institution | Kabale University |
| issn | 2331-6055 2331-608X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | University of New Mexico |
| record_format | Article |
| series | Neutrosophic Sets and Systems |
| spelling | doaj-art-54c0a68eefbc407784f323b1122da4ba2025-08-24T17:22:57ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-05-0184313327Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive MapsCarlos Balmaseda -EspinosaOscar Caicedo-CamposanoNadia Quevedo-PinosDacil González-GonzálezAgricultural sustainability is a complex system influenced by interconnected environmental, economic, and sociocultural factors, whose relationships are often marked by uncertainty. This study addresses the interdependence of these factors using Neutrosophic Cognitive Maps (NCMs), a methodology capable of modeling causality in complex systems by incorporating degrees of truth, falsity, and indeterminacy. Twelve key indicators across the three dimensions of sustainability were selected, and an NCM was constructed based on expert criteria to visualize and analyze their dynamic interactions. Centrality analysis, following a de-neutrosophication process, revealed that sociocultural indicators, specifically the well-being of the agricultural community (X12) and the preservation of traditional knowledge (X11), along with economic resilience to shocks (X8), possess the greatest influence within the system. Findings underscore the strong interconnection between dimensions, highlighting, for example, the positive influence of traditional knowledge on biodiversity (X1) and the tension between productivity (X5) and natural resources (X2, X3) if not managed sustainably. The research demonstrates the utility of NCMs for capturing the complexity and uncertainty inherent in agricultural sustainability and offers a basis for developing more integrated and adaptive strategies and policies, recognizing the fundamental role of sociocultural dynamics and economic resilience.https://fs.unm.edu/NSS/26.DynamicsNeutrosophicCognitiveMaps.pdfagricultural sustainabilityneutrosophic cognitive maps (ncm)sustainability indicatorscentrality analysissociocultural factorseconomic resilienceuncertainty modelingcomplex systems |
| spellingShingle | Carlos Balmaseda -Espinosa Oscar Caicedo-Camposano Nadia Quevedo-Pinos Dacil González-González Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps Neutrosophic Sets and Systems agricultural sustainability neutrosophic cognitive maps (ncm) sustainability indicators centrality analysis sociocultural factors economic resilience uncertainty modeling complex systems |
| title | Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps |
| title_full | Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps |
| title_fullStr | Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps |
| title_full_unstemmed | Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps |
| title_short | Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps |
| title_sort | analysis of indicator dynamics in agricultural sustainability using neutrosophic cognitive maps |
| topic | agricultural sustainability neutrosophic cognitive maps (ncm) sustainability indicators centrality analysis sociocultural factors economic resilience uncertainty modeling complex systems |
| url | https://fs.unm.edu/NSS/26.DynamicsNeutrosophicCognitiveMaps.pdf |
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