A fuzzy MCDM approach for choosing a tourism destination in Portugal
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
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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7160 |
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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 |
repository.mail.fl_str_mv |
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1799134898250842112 |