Fuzzy-based Support System for Urban Green Infrastructure Management

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSorocaba Engineering School-
Autor(es): dc.creatorBressane, Adriano-
Autor(es): dc.creatorNomura, Leonardo Massato Nicácio-
Autor(es): dc.creatorFengler, Felipe Hashimoto-
Autor(es): dc.creatorde Castro Medeiros, Líliam César-
Autor(es): dc.creatorNegri, Rogério Galante-
Data de aceite: dc.date.accessioned2025-08-21T22:24:30Z-
Data de disponibilização: dc.date.available2025-08-21T22:24:30Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5380/raega.v61i1.95323-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/306200-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/306200-
Descrição: dc.descriptionDealing with the challenges of rapid urban growth while preserving ecological ecosystems and human quality of life is a hard task and a cornerstone of sustainable urban development. This study proposes a Decision Support System (DSS) for the management of Urban Green Infrastructure (UGI). The DSS was developed using fuzzy artificial intelligence to address uncertainties inherent in the integration of geospatial data within the computational environment of a Geographic Information System. The selection of variables and configuration parameters was based on a literature review and expert consultation through the Delphi method. To verify the potential of the DSS, a case study was developed in the Biological Reserve of Serra do Japi. The results indicate that the DSS serves as a promising tool for planners, policymakers, and researchers, capable of supporting data-driven recommendations through case-by-case analyses. Future research could explore the integration of additional indicators, enhance the inference mechanism, and extend the application of the DSS across diverse urban contexts to optimize its versatility and effectiveness in UGI management.-
Descrição: dc.descriptionDepartment of Environmental Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Civil Engineering Sorocaba Engineering School-
Descrição: dc.descriptionDepartment of Environmental Engineering São Paulo State University-
Formato: dc.format92-111-
Idioma: dc.languageen-
Relação: dc.relationRA'E GA - O Espaco Geografico em Analise-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial Intelligence-
Palavras-chave: dc.subjectFuzzy Logic-
Palavras-chave: dc.subjectGreen Infrastructure-
Palavras-chave: dc.subjectSustainable Cities-
Título: dc.titleFuzzy-based Support System for Urban Green Infrastructure Management-
Título: dc.titleSistema Fuzzy de Apoio à Gestão da Infraestrutura Verde Urbana-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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