A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM

Abstract Agriculture is a major contributor to global greenhouse gas emissions, highlighting the urgent need for effective carbon reduction strategies. This study presents an innovative integrated model that employs Fermatean Neutrosophic Set in conjunction with the Weighted Influence Nonlinear Gaug...

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Main Authors: Kecheng Zhang, Zhicheng Chen, Yawen Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-84423-y
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author Kecheng Zhang
Zhicheng Chen
Yawen Wang
author_facet Kecheng Zhang
Zhicheng Chen
Yawen Wang
author_sort Kecheng Zhang
collection DOAJ
description Abstract Agriculture is a major contributor to global greenhouse gas emissions, highlighting the urgent need for effective carbon reduction strategies. This study presents an innovative integrated model that employs Fermatean Neutrosophic Set in conjunction with the Weighted Influence Nonlinear Gauge System and the Analytic Hierarchy Process combined with the Entropy Weight Method to assess key factors influencing agricultural carbon reduction. Our study delineates the hierarchical importance of factors influencing carbon emissions, with carbon emission reduction policy (τ4) emerging as the paramount factor, attributed a value of 0.220. The factor prioritization is ordered as τ4 > τ8 > τ3 > τ2 > τ6 > τ9 > τ1 > τ5 > τ7. Concurrently, the causality ranking, derived from the $$\:{S}_{\mathcal{H}-\mathcal{L}}$$ values, positions agricultural technology adoption (τ6) as the most influential factor, with a value of 0.7737, and is followed by the sequence τ6 > τ9 > τ8 > τ1 > τ5 > τ2 > 0 > τ3 > τ4 > τ7.The findings emphasize the pivotal role of sustainable agricultural management, carbon emission reduction policy, and agricultural technology adoption in mitigating emissions, and based on this, suggest some policy insights that can be used by policymakers and regulators. The proposed model serves as a robust decision-making tool for policymakers and provides a theoretical framework for developing effective agricultural carbon reduction strategies. This research advances the field by offering a novel theoretical model for complex decision-making under uncertainty, deepening the understanding of agricultural carbon reduction dynamics, and providing actionable insights for sustainable development.
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spelling doaj-art-90fa4bbcba184dff936335918da487192025-01-05T12:16:40ZengNature PortfolioScientific Reports2045-23222025-01-0115112510.1038/s41598-024-84423-yA novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWMKecheng Zhang0Zhicheng Chen1Yawen Wang2School of Business Administration, Shandong Women’s UniversitySchool of Economics and Management, Shandong Agricultural UniversitySchool of Economics and Management, Shandong Agricultural UniversityAbstract Agriculture is a major contributor to global greenhouse gas emissions, highlighting the urgent need for effective carbon reduction strategies. This study presents an innovative integrated model that employs Fermatean Neutrosophic Set in conjunction with the Weighted Influence Nonlinear Gauge System and the Analytic Hierarchy Process combined with the Entropy Weight Method to assess key factors influencing agricultural carbon reduction. Our study delineates the hierarchical importance of factors influencing carbon emissions, with carbon emission reduction policy (τ4) emerging as the paramount factor, attributed a value of 0.220. The factor prioritization is ordered as τ4 > τ8 > τ3 > τ2 > τ6 > τ9 > τ1 > τ5 > τ7. Concurrently, the causality ranking, derived from the $$\:{S}_{\mathcal{H}-\mathcal{L}}$$ values, positions agricultural technology adoption (τ6) as the most influential factor, with a value of 0.7737, and is followed by the sequence τ6 > τ9 > τ8 > τ1 > τ5 > τ2 > 0 > τ3 > τ4 > τ7.The findings emphasize the pivotal role of sustainable agricultural management, carbon emission reduction policy, and agricultural technology adoption in mitigating emissions, and based on this, suggest some policy insights that can be used by policymakers and regulators. The proposed model serves as a robust decision-making tool for policymakers and provides a theoretical framework for developing effective agricultural carbon reduction strategies. This research advances the field by offering a novel theoretical model for complex decision-making under uncertainty, deepening the understanding of agricultural carbon reduction dynamics, and providing actionable insights for sustainable development.https://doi.org/10.1038/s41598-024-84423-yAgricultural carbon reductionFermatean neutrosophic setWINGSAHP-EWMDecision-makingSustainable development
spellingShingle Kecheng Zhang
Zhicheng Chen
Yawen Wang
A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM
Scientific Reports
Agricultural carbon reduction
Fermatean neutrosophic set
WINGS
AHP-EWM
Decision-making
Sustainable development
title A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM
title_full A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM
title_fullStr A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM
title_full_unstemmed A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM
title_short A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM
title_sort novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with wings and ahp ewm
topic Agricultural carbon reduction
Fermatean neutrosophic set
WINGS
AHP-EWM
Decision-making
Sustainable development
url https://doi.org/10.1038/s41598-024-84423-y
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