A fuzzy knowledge-based framework for risk assessment of residential real estate investments

Detalhes bibliográficos
Autor(a) principal: Ribeiro, M.
Data de Publicação: 2017
Outros Autores: Ferreira, F., Jalali, M., Meidute-Kavaliauskiene, I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/18018
Resumo: Risk analysis of residential real estate investments requires careful analysis of certain variables (or determinants). Because real estate is a key sector for economic and social development, this risk analysis is seen as critical in supporting decision processes relating to buying or selling residential properties, partly due to the pressures caused by the current economic environment. This study aims to develop a conceptual reference model for risk assessment of residential real estate using fuzzy cognitive mapping. This fuzzy model allows cause-and-effect relationships between determinants to be identified and better understood, which in turn allows for better informed investment decisions. The results show that the use of cognitive maps reduces the number of omitted criteria and favors learning with regard to how the criteria relate to each other, holding great potential and versatility in structuring complex decision problems. Practical implications, strengths and weaknesses of our proposal are discussed.
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spelling A fuzzy knowledge-based framework for risk assessment of residential real estate investmentsDecision makingRisk analysis of real estate investmentsResidential real estateFuzzy cogntive mapsRisk analysis of residential real estate investments requires careful analysis of certain variables (or determinants). Because real estate is a key sector for economic and social development, this risk analysis is seen as critical in supporting decision processes relating to buying or selling residential properties, partly due to the pressures caused by the current economic environment. This study aims to develop a conceptual reference model for risk assessment of residential real estate using fuzzy cognitive mapping. This fuzzy model allows cause-and-effect relationships between determinants to be identified and better understood, which in turn allows for better informed investment decisions. The results show that the use of cognitive maps reduces the number of omitted criteria and favors learning with regard to how the criteria relate to each other, holding great potential and versatility in structuring complex decision problems. Practical implications, strengths and weaknesses of our proposal are discussed.Vilnius Gediminas Technical University2019-05-08T13:43:46Z2017-01-01T00:00:00Z20172019-05-08T14:43:17Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/18018eng2029-491310.3846/20294913.2016.1212742Ribeiro, M.Ferreira, F.Jalali, M.Meidute-Kavaliauskiene, I.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:42:07Zoai:repositorio.iscte-iul.pt:10071/18018Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:19:40.325131Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A fuzzy knowledge-based framework for risk assessment of residential real estate investments
title A fuzzy knowledge-based framework for risk assessment of residential real estate investments
spellingShingle A fuzzy knowledge-based framework for risk assessment of residential real estate investments
Ribeiro, M.
Decision making
Risk analysis of real estate investments
Residential real estate
Fuzzy cogntive maps
title_short A fuzzy knowledge-based framework for risk assessment of residential real estate investments
title_full A fuzzy knowledge-based framework for risk assessment of residential real estate investments
title_fullStr A fuzzy knowledge-based framework for risk assessment of residential real estate investments
title_full_unstemmed A fuzzy knowledge-based framework for risk assessment of residential real estate investments
title_sort A fuzzy knowledge-based framework for risk assessment of residential real estate investments
author Ribeiro, M.
author_facet Ribeiro, M.
Ferreira, F.
Jalali, M.
Meidute-Kavaliauskiene, I.
author_role author
author2 Ferreira, F.
Jalali, M.
Meidute-Kavaliauskiene, I.
author2_role author
author
author
dc.contributor.author.fl_str_mv Ribeiro, M.
Ferreira, F.
Jalali, M.
Meidute-Kavaliauskiene, I.
dc.subject.por.fl_str_mv Decision making
Risk analysis of real estate investments
Residential real estate
Fuzzy cogntive maps
topic Decision making
Risk analysis of real estate investments
Residential real estate
Fuzzy cogntive maps
description Risk analysis of residential real estate investments requires careful analysis of certain variables (or determinants). Because real estate is a key sector for economic and social development, this risk analysis is seen as critical in supporting decision processes relating to buying or selling residential properties, partly due to the pressures caused by the current economic environment. This study aims to develop a conceptual reference model for risk assessment of residential real estate using fuzzy cognitive mapping. This fuzzy model allows cause-and-effect relationships between determinants to be identified and better understood, which in turn allows for better informed investment decisions. The results show that the use of cognitive maps reduces the number of omitted criteria and favors learning with regard to how the criteria relate to each other, holding great potential and versatility in structuring complex decision problems. Practical implications, strengths and weaknesses of our proposal are discussed.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01T00:00:00Z
2017
2019-05-08T13:43:46Z
2019-05-08T14:43:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/18018
url http://hdl.handle.net/10071/18018
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2029-4913
10.3846/20294913.2016.1212742
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 Vilnius Gediminas Technical University
publisher.none.fl_str_mv Vilnius Gediminas Technical University
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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