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Evaluating agriculture 4.0 decision support systems based on hyperbolic fuzzy-weighted zero-inconsistency combined with combinative distance-based assessment

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dc.citedby0
dc.contributor.authorAlamoodi A.en_US
dc.contributor.authorGarfan S.en_US
dc.contributor.authorDeveci M.en_US
dc.contributor.authorAlbahri O.S.en_US
dc.contributor.authorAlbahri A.S.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorHomod R.Z.en_US
dc.contributor.authorMohamad Sharaf I.en_US
dc.contributor.authorMoslem S.en_US
dc.contributor.authorid57205435311en_US
dc.contributor.authorid57213826607en_US
dc.contributor.authorid55734383000en_US
dc.contributor.authorid57201013684en_US
dc.contributor.authorid57201009814en_US
dc.contributor.authorid16023225600en_US
dc.contributor.authorid36994633500en_US
dc.contributor.authorid17435789800en_US
dc.contributor.authorid57203017976en_US
dc.date.accessioned2025-03-03T07:41:24Z
dc.date.available2025-03-03T07:41:24Z
dc.date.issued2024
dc.description.abstractAgriculture 4.0 plays a crucial role in shaping sustainable cities and societies by revolutionizing urban food systems. By incorporating advanced technologies like precision farming, vertical gardening, and data analytics, Agriculture 4.0 improves local food production, reduces food transportation, and optimizes resource utilization. This paper introduces an innovative approach using Multi-Criteria Decision Making (MCDM) to assess Agriculture 4.0 Decision Support Systems (ADSS), contributing significantly to the selection of optimal systems that can drive sustainability in smart agriculture. The novelty of this research lies in developing a comprehensive evaluation framework that extends the hyperbolic fuzzy-weighted zero-inconsistency method for criteria weighting, combined with the combinative distance-based assessment method for benchmarking ADSS. The assessment matrix evaluates 13 ADSS across eight key criteria, including ?accessibility,? ?re-planning,? ?expert knowledge,? ?interoperability,? ?scalability,? ?uncertainty and dynamic factors,? ?prediction and forecast,? and ?historical data analysis?. Results from the hyperbolic fuzzy-weighted zero-inconsistency approach highlight ?re-planning? (0.143) and ?prediction and forecast? (0.140) as the most significant criteria, while ?expert knowledge? ranked lowest (0.113). In the combinative distance-based assessment, the system labelled ?OCCASION? achieved the highest score (3.843), positioning it as the most favourable ADSS, whereas the ?MOLP-based beef supply chain? system scored lowest (?3.519). Sensitivity analysis, conducted using varying sets of weights, confirms the robustness and reliability of the proposed approach. This research provides a powerful decision-making tool that can guide stakeholders in selecting the best ADSS, ultimately promoting sustainability and resource optimization in Agriculture 4.0. The findings have important implications for farmers, agribusiness, and smart agriculture, demonstrating the potential of the methodology to enhance decision-making processes in a critical sector. ? 2024 Elsevier B.V.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo109618
dc.identifier.doi10.1016/j.compag.2024.109618
dc.identifier.scopus2-s2.0-85208673914
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85208673914&doi=10.1016%2fj.compag.2024.109618&partnerID=40&md5=eaf7777ed950b10ae57b711d243deddc
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36116
dc.identifier.volume227
dc.publisherElsevier B.V.en_US
dc.sourceScopus
dc.sourcetitleComputers and Electronics in Agriculture
dc.subjectAgriculture decision support system
dc.subjectCombinative distance-based assessment
dc.subjectDecision supports
dc.subjectDistance-based
dc.subjectFuzzy-weighted zero-inconsistency
dc.subjectHyperbolic fuzzy set
dc.subjectMulti criteria decision-making
dc.subjectMulticriteria decision-making
dc.subjectMulticriterion decision makings
dc.subjectSupport systems
dc.subjectalternative agriculture
dc.subjectassessment method
dc.subjectbenchmarking
dc.subjectdecision making
dc.subjectdecision support system
dc.subjectoptimization
dc.subjectresource use
dc.subjectstakeholder
dc.subjectsupply chain management
dc.subjectSensitivity analysis
dc.titleEvaluating agriculture 4.0 decision support systems based on hyperbolic fuzzy-weighted zero-inconsistency combined with combinative distance-based assessmenten_US
dc.typeArticleen_US
dspace.entity.typePublication
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