Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking

Detalhes bibliográficos
Autor(a) principal: Carnasciali, Ana Maria dos Santos
Data de Publicação: 2007
Outros Autores: Delazari, Luciene Stamato
Tipo de documento: Artigo
Idioma: por
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/10734
Resumo: Making a decision on where would be the best location to sell a product is the mostcrucial task in any market sector. However, this is a complex undertaking since itinvolves numerous variables, not only related to space, but also related tosubjectivity and symbolism and often related to personal opinions. Taking intoconsideration that the decision on the location involves many variables as to spaceas well as symbolic variables, this paper presents the integration of a GeographicalInformation System (GIS) with an Expert System (ES) in order to help with thedecision taking process of where to start a new retailer in the banking sector, in thiscase within the HSBC Bank Brazil S/A, Multiple Banking, Department of RealEstate Administration for the area of the city of Curitiba, Paraná. The system wasdeveloped in several steps. To implement GIS ArcGIS was used and to develop theExpert System it was used a shell, named Expert SINTA. The user interface wasdeveloped by using programming language Visual Basic. A comparison was madebetween the methodology used of the specialists of the Department of Real EstateAdministration and the proposed system in order to validate the results. Theconclusion was that the integration of the systems contributed to an improvementwithin the decision maping process as to the location in the banking sector,enlarging the possibilities of the spatial analysis and helping the experts with thetasks that involve subjective estimations and often opinions.
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spelling Integration of geographical information systems and artificial intelligence technics to support banking industry decision takingINTEGRAÇÃO DE SISTEMAS DE INFORMAÇÕES GEOGRÁFICAS E TÉCNICAS DE INTELIGÊNCIA ARTIFICIAL PARA AUXILIAR A TOMADA DE DECISÃO LOCACIONAL DO SETOR BANCÁRIOGeomarketing; Sistemas de Informações Geográficas; Sistema Especialista; Setor Bancário; Integração de Sistemas; Geomarketing; Geographic Information System; Expert System; Banking Industry; System IntegrationMaking a decision on where would be the best location to sell a product is the mostcrucial task in any market sector. However, this is a complex undertaking since itinvolves numerous variables, not only related to space, but also related tosubjectivity and symbolism and often related to personal opinions. Taking intoconsideration that the decision on the location involves many variables as to spaceas well as symbolic variables, this paper presents the integration of a GeographicalInformation System (GIS) with an Expert System (ES) in order to help with thedecision taking process of where to start a new retailer in the banking sector, in thiscase within the HSBC Bank Brazil S/A, Multiple Banking, Department of RealEstate Administration for the area of the city of Curitiba, Paraná. The system wasdeveloped in several steps. To implement GIS ArcGIS was used and to develop theExpert System it was used a shell, named Expert SINTA. The user interface wasdeveloped by using programming language Visual Basic. A comparison was madebetween the methodology used of the specialists of the Department of Real EstateAdministration and the proposed system in order to validate the results. Theconclusion was that the integration of the systems contributed to an improvementwithin the decision maping process as to the location in the banking sector,enlarging the possibilities of the spatial analysis and helping the experts with thetasks that involve subjective estimations and often opinions.Decidir sobre a melhor localização de um ponto comercial em qualquer setor é umadas tarefas mais importantes a ser tomada. No entanto, realizar uma decisãolocacional é uma tarefa complexa, pois envolve inúmeras variáveis, não sóespaciais, como também subjetivas, simbólicas e muitas vezes opinativas.Considerando que para decidir sobre uma localização nas quais estão envolvidastanto variáveis espaciais como variáveis simbólicas, este trabalho apresenta aintegração de um Sistema de Informações Geográficas (SIG) e um sistemaespecialista (SE) para auxiliar a tomada de decisão locacional voltada ao setorbancário, neste caso o HSBC Bank Brasil S/A – Banco Múltiplo, departamento deAdministração de Imóveis (DAI), abrangendo o município de Curitiba (PR). Para aimplementação do sistema foram usados os softwares Visual Basic, ArcGIS, ExpertSINTA e HelpScribble para desenvolvimento da interface de integração, do SIG, doSE e dos menus de ajuda, respectivamente. Foi efetuada uma comparação entre ametodologia usada pelos especialistas do DAI com o sistema proposto a fim deavaliar os resultados, concluindo-se que a integração entre os sistemas contribui noaprimoramento da decisão locacional do setor bancário, ampliando as possibilidadesde análises espaciais e auxiliando os especialistas nas tarefas que envolvempareceres subjetivos e muitas vezes opinativos.Boletim de Ciências GeodésicasBulletin of Geodetic Sciences2007-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/10734Boletim de Ciências Geodésicas; Vol 13, No 2 (2007)Bulletin of Geodetic Sciences; Vol 13, No 2 (2007)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/10734/7132Carnasciali, Ana Maria dos SantosDelazari, Luciene Stamatoinfo:eu-repo/semantics/openAccess2008-05-12T17:32:11Zoai:revistas.ufpr.br:article/10734Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2008-05-12T17:32:11Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
INTEGRAÇÃO DE SISTEMAS DE INFORMAÇÕES GEOGRÁFICAS E TÉCNICAS DE INTELIGÊNCIA ARTIFICIAL PARA AUXILIAR A TOMADA DE DECISÃO LOCACIONAL DO SETOR BANCÁRIO
title Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
spellingShingle Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
Carnasciali, Ana Maria dos Santos
Geomarketing; Sistemas de Informações Geográficas; Sistema Especialista; Setor Bancário; Integração de Sistemas; Geomarketing; Geographic Information System; Expert System; Banking Industry; System Integration
title_short Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
title_full Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
title_fullStr Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
title_full_unstemmed Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
title_sort Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
author Carnasciali, Ana Maria dos Santos
author_facet Carnasciali, Ana Maria dos Santos
Delazari, Luciene Stamato
author_role author
author2 Delazari, Luciene Stamato
author2_role author
dc.contributor.author.fl_str_mv Carnasciali, Ana Maria dos Santos
Delazari, Luciene Stamato
dc.subject.por.fl_str_mv Geomarketing; Sistemas de Informações Geográficas; Sistema Especialista; Setor Bancário; Integração de Sistemas; Geomarketing; Geographic Information System; Expert System; Banking Industry; System Integration
topic Geomarketing; Sistemas de Informações Geográficas; Sistema Especialista; Setor Bancário; Integração de Sistemas; Geomarketing; Geographic Information System; Expert System; Banking Industry; System Integration
description Making a decision on where would be the best location to sell a product is the mostcrucial task in any market sector. However, this is a complex undertaking since itinvolves numerous variables, not only related to space, but also related tosubjectivity and symbolism and often related to personal opinions. Taking intoconsideration that the decision on the location involves many variables as to spaceas well as symbolic variables, this paper presents the integration of a GeographicalInformation System (GIS) with an Expert System (ES) in order to help with thedecision taking process of where to start a new retailer in the banking sector, in thiscase within the HSBC Bank Brazil S/A, Multiple Banking, Department of RealEstate Administration for the area of the city of Curitiba, Paraná. The system wasdeveloped in several steps. To implement GIS ArcGIS was used and to develop theExpert System it was used a shell, named Expert SINTA. The user interface wasdeveloped by using programming language Visual Basic. A comparison was madebetween the methodology used of the specialists of the Department of Real EstateAdministration and the proposed system in order to validate the results. Theconclusion was that the integration of the systems contributed to an improvementwithin the decision maping process as to the location in the banking sector,enlarging the possibilities of the spatial analysis and helping the experts with thetasks that involve subjective estimations and often opinions.
publishDate 2007
dc.date.none.fl_str_mv 2007-12-31
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/10734
url https://revistas.ufpr.br/bcg/article/view/10734
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/10734/7132
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.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 13, No 2 (2007)
Bulletin of Geodetic Sciences; Vol 13, No 2 (2007)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
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