A knowledge based framework for planning house building projects

Detalhes bibliográficos
Autor(a) principal: Formoso, Carlos Torres
Data de Publicação: 1991
Tipo de documento: Tese
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRGS
Texto Completo: http://hdl.handle.net/10183/18667
Resumo: This thesis describes the development of a knowledge based system which encapsulates some of the expertise used by a number of experienced construction planners for planning the construction stage of low rise house building projects in the U.K. The general objective of the research was to investigate the feasibility of using knowledge engineering for developing models of construction planning expertise, which could be employed for tackling some of the existing knowledge bottlenecks in the construction industry. The resulting system can be described as a knowledge based framework designed for supporting the decision making process involved in planning house building at a tactical level. One of the main features of this framework is its ability to cope with incomplete information. The knowledge acquisition process involved both the elicitation of knowledge directly from experts, and the analysis of construction plans from several past housing developments. The model was implemented on an expert system shell called LEONARDO Level 3, which runs in any standard IBM-PC micro-computer or compatibles. The evaluation of the system focused on the validity of the model, i.e. the degree at which the outcomes of the system resembled the outcomes of the human expertise being modelled in the knowledge base. A prescriptive method of validation was devised specifically for this study, involving both experts that had provided expertise for the system, and external experts.
id URGS_3a4b09fdf787bedae112afa888fbb274
oai_identifier_str oai:www.lume.ufrgs.br:10183/18667
network_acronym_str URGS
network_name_str Biblioteca Digital de Teses e Dissertações da UFRGS
repository_id_str 1853
spelling Formoso, Carlos TorresUniversity of SalfordNão disponível2010-03-06T04:14:03Z1991http://hdl.handle.net/10183/18667000062556This thesis describes the development of a knowledge based system which encapsulates some of the expertise used by a number of experienced construction planners for planning the construction stage of low rise house building projects in the U.K. The general objective of the research was to investigate the feasibility of using knowledge engineering for developing models of construction planning expertise, which could be employed for tackling some of the existing knowledge bottlenecks in the construction industry. The resulting system can be described as a knowledge based framework designed for supporting the decision making process involved in planning house building at a tactical level. One of the main features of this framework is its ability to cope with incomplete information. The knowledge acquisition process involved both the elicitation of knowledge directly from experts, and the analysis of construction plans from several past housing developments. The model was implemented on an expert system shell called LEONARDO Level 3, which runs in any standard IBM-PC micro-computer or compatibles. The evaluation of the system focused on the validity of the model, i.e. the degree at which the outcomes of the system resembled the outcomes of the human expertise being modelled in the knowledge base. A prescriptive method of validation was devised specifically for this study, involving both experts that had provided expertise for the system, and external experts.application/pdfengInteligência artificialConstrução civil : PlanejamentoA knowledge based framework for planning house building projectsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisUniversity of SalfordSalford e-UK1991doutoradoinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000062556.pdf000062556.pdfTexto completo (inglês)application/pdf50280175http://www.lume.ufrgs.br/bitstream/10183/18667/1/000062556.pdf9e28d0fa78ded4f45ee1f01a2b4338cfMD51TEXT000062556.pdf.txt000062556.pdf.txtExtracted Texttext/plain589303http://www.lume.ufrgs.br/bitstream/10183/18667/2/000062556.pdf.txtd91e4275b8c49a42860b8a54e439415fMD52THUMBNAIL000062556.pdf.jpg000062556.pdf.jpgGenerated Thumbnailimage/jpeg1166http://www.lume.ufrgs.br/bitstream/10183/18667/3/000062556.pdf.jpg3cf9d3460524f38b12f83fa3f2eea266MD5310183/186672023-01-05 06:00:32.819225oai:www.lume.ufrgs.br:10183/18667Biblioteca Digital de Teses e Dissertaçõeshttps://lume.ufrgs.br/handle/10183/2PUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.br||lume@ufrgs.bropendoar:18532023-01-05T08:00:32Biblioteca Digital de Teses e Dissertações da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv A knowledge based framework for planning house building projects
title A knowledge based framework for planning house building projects
spellingShingle A knowledge based framework for planning house building projects
Formoso, Carlos Torres
Inteligência artificial
Construção civil : Planejamento
title_short A knowledge based framework for planning house building projects
title_full A knowledge based framework for planning house building projects
title_fullStr A knowledge based framework for planning house building projects
title_full_unstemmed A knowledge based framework for planning house building projects
title_sort A knowledge based framework for planning house building projects
author Formoso, Carlos Torres
author_facet Formoso, Carlos Torres
author_role author
dc.contributor.other.pt_BR.fl_str_mv University of Salford
dc.contributor.author.fl_str_mv Formoso, Carlos Torres
dc.contributor.advisor1.fl_str_mv Não disponível
contributor_str_mv Não disponível
dc.subject.por.fl_str_mv Inteligência artificial
Construção civil : Planejamento
topic Inteligência artificial
Construção civil : Planejamento
description This thesis describes the development of a knowledge based system which encapsulates some of the expertise used by a number of experienced construction planners for planning the construction stage of low rise house building projects in the U.K. The general objective of the research was to investigate the feasibility of using knowledge engineering for developing models of construction planning expertise, which could be employed for tackling some of the existing knowledge bottlenecks in the construction industry. The resulting system can be described as a knowledge based framework designed for supporting the decision making process involved in planning house building at a tactical level. One of the main features of this framework is its ability to cope with incomplete information. The knowledge acquisition process involved both the elicitation of knowledge directly from experts, and the analysis of construction plans from several past housing developments. The model was implemented on an expert system shell called LEONARDO Level 3, which runs in any standard IBM-PC micro-computer or compatibles. The evaluation of the system focused on the validity of the model, i.e. the degree at which the outcomes of the system resembled the outcomes of the human expertise being modelled in the knowledge base. A prescriptive method of validation was devised specifically for this study, involving both experts that had provided expertise for the system, and external experts.
publishDate 1991
dc.date.issued.fl_str_mv 1991
dc.date.accessioned.fl_str_mv 2010-03-06T04:14:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/18667
dc.identifier.nrb.pt_BR.fl_str_mv 000062556
url http://hdl.handle.net/10183/18667
identifier_str_mv 000062556
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Biblioteca Digital de Teses e Dissertações da UFRGS
collection Biblioteca Digital de Teses e Dissertações da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/18667/1/000062556.pdf
http://www.lume.ufrgs.br/bitstream/10183/18667/2/000062556.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/18667/3/000062556.pdf.jpg
bitstream.checksum.fl_str_mv 9e28d0fa78ded4f45ee1f01a2b4338cf
d91e4275b8c49a42860b8a54e439415f
3cf9d3460524f38b12f83fa3f2eea266
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv lume@ufrgs.br||lume@ufrgs.br
_version_ 1816736829015064576