A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000801602 |
Resumo: | Abstract The reduction of the green areas due to the growth of the built-up areas has affected the environmental quality in cities. Nevertheless, some uncertainties remain about the adequate amount of such areas in the urban landscape. This study aims at introducing a methodology to support analysis of green areas in urban neighborhoods. The methodological proposal was based on a fuzzy expert system (FES), a soft computing approach capable of dealing with uncertainties in complex multiple-criteria decision-making. As empirical research, some case studies to introduce and validate the proposed methodology were performed. An agglomerative hierarchical clustering, followed by a Kruskal-Wallis test and multiple pairwise comparisons using the Conover-Iman procedure (significance 0.05), demonstrated that the FES was able to provide outcomes consistent with hypothetical situations, simulated as ideal and critical conditions of green areas. In conclusion, our findings indicate that the methodological proposal based on FES is a promising tool for complex case-by-case analysis in urban neighborhoods. |
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A fuzzy-based methodological proposal for analysing green areas in urban neighborhoodsland usesustainable citiesexpert systemdecision modelAbstract The reduction of the green areas due to the growth of the built-up areas has affected the environmental quality in cities. Nevertheless, some uncertainties remain about the adequate amount of such areas in the urban landscape. This study aims at introducing a methodology to support analysis of green areas in urban neighborhoods. The methodological proposal was based on a fuzzy expert system (FES), a soft computing approach capable of dealing with uncertainties in complex multiple-criteria decision-making. As empirical research, some case studies to introduce and validate the proposed methodology were performed. An agglomerative hierarchical clustering, followed by a Kruskal-Wallis test and multiple pairwise comparisons using the Conover-Iman procedure (significance 0.05), demonstrated that the FES was able to provide outcomes consistent with hypothetical situations, simulated as ideal and critical conditions of green areas. In conclusion, our findings indicate that the methodological proposal based on FES is a promising tool for complex case-by-case analysis in urban neighborhoods.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000801602Anais da Academia Brasileira de Ciências v.94 suppl.4 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220210015info:eu-repo/semantics/openAccessMOTA,MAURÍCIO T. DAGALVÃO,AMANDA LOUISI DOS S.BRESSANE,ADRIANONEGRI,ROGÉRIO G.ROVEDA,JOSÉ ARNALDO F.ROVEDA,SANDRA REGINA M. M.eng2022-12-13T00:00:00Zoai:scielo:S0001-37652022000801602Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-12-13T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods |
title |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods |
spellingShingle |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods MOTA,MAURÍCIO T. DA land use sustainable cities expert system decision model |
title_short |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods |
title_full |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods |
title_fullStr |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods |
title_full_unstemmed |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods |
title_sort |
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods |
author |
MOTA,MAURÍCIO T. DA |
author_facet |
MOTA,MAURÍCIO T. DA GALVÃO,AMANDA LOUISI DOS S. BRESSANE,ADRIANO NEGRI,ROGÉRIO G. ROVEDA,JOSÉ ARNALDO F. ROVEDA,SANDRA REGINA M. M. |
author_role |
author |
author2 |
GALVÃO,AMANDA LOUISI DOS S. BRESSANE,ADRIANO NEGRI,ROGÉRIO G. ROVEDA,JOSÉ ARNALDO F. ROVEDA,SANDRA REGINA M. M. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
MOTA,MAURÍCIO T. DA GALVÃO,AMANDA LOUISI DOS S. BRESSANE,ADRIANO NEGRI,ROGÉRIO G. ROVEDA,JOSÉ ARNALDO F. ROVEDA,SANDRA REGINA M. M. |
dc.subject.por.fl_str_mv |
land use sustainable cities expert system decision model |
topic |
land use sustainable cities expert system decision model |
description |
Abstract The reduction of the green areas due to the growth of the built-up areas has affected the environmental quality in cities. Nevertheless, some uncertainties remain about the adequate amount of such areas in the urban landscape. This study aims at introducing a methodology to support analysis of green areas in urban neighborhoods. The methodological proposal was based on a fuzzy expert system (FES), a soft computing approach capable of dealing with uncertainties in complex multiple-criteria decision-making. As empirical research, some case studies to introduce and validate the proposed methodology were performed. An agglomerative hierarchical clustering, followed by a Kruskal-Wallis test and multiple pairwise comparisons using the Conover-Iman procedure (significance 0.05), demonstrated that the FES was able to provide outcomes consistent with hypothetical situations, simulated as ideal and critical conditions of green areas. In conclusion, our findings indicate that the methodological proposal based on FES is a promising tool for complex case-by-case analysis in urban neighborhoods. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000801602 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000801602 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765202220210015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.94 suppl.4 2022 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
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ABC |
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ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
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||aabc@abc.org.br |
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1754302872945688576 |