A fuzzy MCDM approach for choosing a tourism destination in Portugal

Detalhes bibliográficos
Autor(a) principal: Genç, T.
Data de Publicação: 2016
Outros Autores: Filipe, J. A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/12176
Resumo: In this paper, it is intended to create a methodology in order to have a multi criteria approach for choosing a tourist destination region or place. Involving a gridline scheme for selection a tourism destination, several criteria will be defined in order to create the basis for the utilisation of the model for electing a destination. The first step involves the description of the features of the possible destinations like Lisbon, Alentejo, Algarve and Alto Douro Region and in which the methodology may be applied. Tourism destination selection is a multi criteria decision making (MCDM) problem including both multi alternatives and criteria and has a great importance for many travellers. To do so, we use the fuzzy technique for order performance by similarity to ideal solution (TOPSIS), an MCDM method based on fuzzy sets in deciding about a tourism destination. Generally, it is difficult to model the real life problems with crisp data. For that reason, we take advantage of using linguistic variables to select the best tourist destination in Portugal.
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spelling A fuzzy MCDM approach for choosing a tourism destination in PortugalMulticriteria decision makingMCDMTourism industryTourist destinationsFuzzy TOPSISPortugalFuzzy logicDestination selectionLinguistic variablesIn this paper, it is intended to create a methodology in order to have a multi criteria approach for choosing a tourist destination region or place. Involving a gridline scheme for selection a tourism destination, several criteria will be defined in order to create the basis for the utilisation of the model for electing a destination. The first step involves the description of the features of the possible destinations like Lisbon, Alentejo, Algarve and Alto Douro Region and in which the methodology may be applied. Tourism destination selection is a multi criteria decision making (MCDM) problem including both multi alternatives and criteria and has a great importance for many travellers. To do so, we use the fuzzy technique for order performance by similarity to ideal solution (TOPSIS), an MCDM method based on fuzzy sets in deciding about a tourism destination. Generally, it is difficult to model the real life problems with crisp data. For that reason, we take advantage of using linguistic variables to select the best tourist destination in Portugal.Inderscience2016-12-07T11:27:35Z2016-01-01T00:00:00Z20162019-04-23T10:26:44Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/12176eng1751-200X10.1504/IJBSR.2016.073688Genç, T.Filipe, J. A.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T18:02:26Zoai:repositorio.iscte-iul.pt:10071/12176Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:33:42.174217Repositório 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 MCDM approach for choosing a tourism destination in Portugal
title A fuzzy MCDM approach for choosing a tourism destination in Portugal
spellingShingle A fuzzy MCDM approach for choosing a tourism destination in Portugal
Genç, T.
Multicriteria decision making
MCDM
Tourism industry
Tourist destinations
Fuzzy TOPSIS
Portugal
Fuzzy logic
Destination selection
Linguistic variables
title_short A fuzzy MCDM approach for choosing a tourism destination in Portugal
title_full A fuzzy MCDM approach for choosing a tourism destination in Portugal
title_fullStr A fuzzy MCDM approach for choosing a tourism destination in Portugal
title_full_unstemmed A fuzzy MCDM approach for choosing a tourism destination in Portugal
title_sort A fuzzy MCDM approach for choosing a tourism destination in Portugal
author Genç, T.
author_facet Genç, T.
Filipe, J. A.
author_role author
author2 Filipe, J. A.
author2_role author
dc.contributor.author.fl_str_mv Genç, T.
Filipe, J. A.
dc.subject.por.fl_str_mv Multicriteria decision making
MCDM
Tourism industry
Tourist destinations
Fuzzy TOPSIS
Portugal
Fuzzy logic
Destination selection
Linguistic variables
topic Multicriteria decision making
MCDM
Tourism industry
Tourist destinations
Fuzzy TOPSIS
Portugal
Fuzzy logic
Destination selection
Linguistic variables
description In this paper, it is intended to create a methodology in order to have a multi criteria approach for choosing a tourist destination region or place. Involving a gridline scheme for selection a tourism destination, several criteria will be defined in order to create the basis for the utilisation of the model for electing a destination. The first step involves the description of the features of the possible destinations like Lisbon, Alentejo, Algarve and Alto Douro Region and in which the methodology may be applied. Tourism destination selection is a multi criteria decision making (MCDM) problem including both multi alternatives and criteria and has a great importance for many travellers. To do so, we use the fuzzy technique for order performance by similarity to ideal solution (TOPSIS), an MCDM method based on fuzzy sets in deciding about a tourism destination. Generally, it is difficult to model the real life problems with crisp data. For that reason, we take advantage of using linguistic variables to select the best tourist destination in Portugal.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-07T11:27:35Z
2016-01-01T00:00:00Z
2016
2019-04-23T10:26:44Z
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/10071/12176
url http://hdl.handle.net/10071/12176
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1751-200X
10.1504/IJBSR.2016.073688
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Inderscience
publisher.none.fl_str_mv Inderscience
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
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