Integration of geographical information systems and artificial intelligence technics to support banking industry decision taking
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
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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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 |
_version_ |
1799771722303406080 |