Construction duration predictive model based on factorial analysis and fuzzy logic

Detalhes bibliográficos
Autor(a) principal: Maués,Luiz Maurício Furtado
Data de Publicação: 2019
Outros Autores: Sá,José Alberto Silva de, Costa Junior,Carlos Tavares da, Kern,Andrea Parise, Duarte,André Augusto Azevedo Montenegro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ambiente construído (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-86212019000400115
Resumo: Abstract Setting the building construction duration for vertical residential works is made still in the study phase of economic and financial feasibility of the project and, in most cases, in an empirical way, increasing the uncertainties and the risks to fulfill the set deadline. However, there are computational intelligence tools that can contribute to reduce the degree of uncertainty. This study aimed to investigate the use of a hybrid system to estimate the deadline for vertical residential building works from design and production characteristics using factorial analysis and Fuzzy Systems. To this end, we used information of a database from the SEURB and in some buildings construction companies in Belém, a city located in the State of Pará, northern of Brazil. For the training and construction of the Fuzzy Forecast Model, data from 71 projects were used and 16 others residential buildings were used for its validation. The results showed a significant level of assertiveness, with 75% accuracy considering a range, whose upper and lower limits were calculated from MAPE and MASE. The model presented a prediction performance superior to other models already consecrated in the literature.
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spelling Construction duration predictive model based on factorial analysis and fuzzy logicFuzzy modeling systemsFuzzy systemsBuilding constructionDeadlineAbstract Setting the building construction duration for vertical residential works is made still in the study phase of economic and financial feasibility of the project and, in most cases, in an empirical way, increasing the uncertainties and the risks to fulfill the set deadline. However, there are computational intelligence tools that can contribute to reduce the degree of uncertainty. This study aimed to investigate the use of a hybrid system to estimate the deadline for vertical residential building works from design and production characteristics using factorial analysis and Fuzzy Systems. To this end, we used information of a database from the SEURB and in some buildings construction companies in Belém, a city located in the State of Pará, northern of Brazil. For the training and construction of the Fuzzy Forecast Model, data from 71 projects were used and 16 others residential buildings were used for its validation. The results showed a significant level of assertiveness, with 75% accuracy considering a range, whose upper and lower limits were calculated from MAPE and MASE. The model presented a prediction performance superior to other models already consecrated in the literature.Associação Nacional de Tecnologia do Ambiente Construído - ANTAC2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-86212019000400115Ambiente Construído v.19 n.4 2019reponame:Ambiente construído (Online)instname:Associação Nacional de Tecnologia do Ambiente Construído (ANTAC)instacron:ANTAC10.1590/s1678-86212019000400346info:eu-repo/semantics/openAccessMaués,Luiz Maurício FurtadoSá,José Alberto Silva deCosta Junior,Carlos Tavares daKern,Andrea PariseDuarte,André Augusto Azevedo Montenegroeng2020-05-05T00:00:00Zoai:scielo:S1678-86212019000400115Revistahttps://seer.ufrgs.br/ambienteconstruidohttps://old.scielo.br/oai/scielo-oai.php||ambienteconstruido@ufrgs.br1678-86211415-8876opendoar:2020-05-05T00:00Ambiente construído (Online) - Associação Nacional de Tecnologia do Ambiente Construído (ANTAC)false
dc.title.none.fl_str_mv Construction duration predictive model based on factorial analysis and fuzzy logic
title Construction duration predictive model based on factorial analysis and fuzzy logic
spellingShingle Construction duration predictive model based on factorial analysis and fuzzy logic
Maués,Luiz Maurício Furtado
Fuzzy modeling systems
Fuzzy systems
Building construction
Deadline
title_short Construction duration predictive model based on factorial analysis and fuzzy logic
title_full Construction duration predictive model based on factorial analysis and fuzzy logic
title_fullStr Construction duration predictive model based on factorial analysis and fuzzy logic
title_full_unstemmed Construction duration predictive model based on factorial analysis and fuzzy logic
title_sort Construction duration predictive model based on factorial analysis and fuzzy logic
author Maués,Luiz Maurício Furtado
author_facet Maués,Luiz Maurício Furtado
Sá,José Alberto Silva de
Costa Junior,Carlos Tavares da
Kern,Andrea Parise
Duarte,André Augusto Azevedo Montenegro
author_role author
author2 Sá,José Alberto Silva de
Costa Junior,Carlos Tavares da
Kern,Andrea Parise
Duarte,André Augusto Azevedo Montenegro
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Maués,Luiz Maurício Furtado
Sá,José Alberto Silva de
Costa Junior,Carlos Tavares da
Kern,Andrea Parise
Duarte,André Augusto Azevedo Montenegro
dc.subject.por.fl_str_mv Fuzzy modeling systems
Fuzzy systems
Building construction
Deadline
topic Fuzzy modeling systems
Fuzzy systems
Building construction
Deadline
description Abstract Setting the building construction duration for vertical residential works is made still in the study phase of economic and financial feasibility of the project and, in most cases, in an empirical way, increasing the uncertainties and the risks to fulfill the set deadline. However, there are computational intelligence tools that can contribute to reduce the degree of uncertainty. This study aimed to investigate the use of a hybrid system to estimate the deadline for vertical residential building works from design and production characteristics using factorial analysis and Fuzzy Systems. To this end, we used information of a database from the SEURB and in some buildings construction companies in Belém, a city located in the State of Pará, northern of Brazil. For the training and construction of the Fuzzy Forecast Model, data from 71 projects were used and 16 others residential buildings were used for its validation. The results showed a significant level of assertiveness, with 75% accuracy considering a range, whose upper and lower limits were calculated from MAPE and MASE. The model presented a prediction performance superior to other models already consecrated in the literature.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
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=S1678-86212019000400115
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-86212019000400115
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1678-86212019000400346
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 Associação Nacional de Tecnologia do Ambiente Construído - ANTAC
publisher.none.fl_str_mv Associação Nacional de Tecnologia do Ambiente Construído - ANTAC
dc.source.none.fl_str_mv Ambiente Construído v.19 n.4 2019
reponame:Ambiente construído (Online)
instname:Associação Nacional de Tecnologia do Ambiente Construído (ANTAC)
instacron:ANTAC
instname_str Associação Nacional de Tecnologia do Ambiente Construído (ANTAC)
instacron_str ANTAC
institution ANTAC
reponame_str Ambiente construído (Online)
collection Ambiente construído (Online)
repository.name.fl_str_mv Ambiente construído (Online) - Associação Nacional de Tecnologia do Ambiente Construído (ANTAC)
repository.mail.fl_str_mv ||ambienteconstruido@ufrgs.br
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