AHP-De Borda: a hybrid multicriteria ranking method
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/291 |
Resumo: | De Borda voting method was proposed in the period of French revolution to be used in a multiple decision-maker environment. Later, it was adapted to multicriteria ranking problems. The adoption of criteria weights in De Borda modeling is an evolution of the original De Borda method; despite this fact, evolution does not approach how to define the weights, that is: the weights are an input to De Borda. The proposal is to segment the problem into two ones. The first is a weight assignment problem and was approached through AHP modeling. The second problem is a ranking problem, being approached through De Borda method. AHP and De Borda are based in principles from different multicriteria Decision Schools: AHP is classified into the American School; De Borda is recognized as a French method. This paper shows that it is possible to use both methods, in a complementary way. The proposal can assist and support decision makers in the modeling of multicriteria ranking problems by assigning weights to the criteria under a systematized way. This hybrid approach proposes a better way for the structuring of the problem, by linking an approach that natively supports the assignment of weights (AHP) into another devoted to the ordering of objects (De Borda). |
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Brazilian Journal of Operations & Production Management (Online) |
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AHP-De Borda: a hybrid multicriteria ranking methodRankingAnalytic Hierarchy ProcessDecisionMulticriteriaDe Borda voting method was proposed in the period of French revolution to be used in a multiple decision-maker environment. Later, it was adapted to multicriteria ranking problems. The adoption of criteria weights in De Borda modeling is an evolution of the original De Borda method; despite this fact, evolution does not approach how to define the weights, that is: the weights are an input to De Borda. The proposal is to segment the problem into two ones. The first is a weight assignment problem and was approached through AHP modeling. The second problem is a ranking problem, being approached through De Borda method. AHP and De Borda are based in principles from different multicriteria Decision Schools: AHP is classified into the American School; De Borda is recognized as a French method. This paper shows that it is possible to use both methods, in a complementary way. The proposal can assist and support decision makers in the modeling of multicriteria ranking problems by assigning weights to the criteria under a systematized way. This hybrid approach proposes a better way for the structuring of the problem, by linking an approach that natively supports the assignment of weights (AHP) into another devoted to the ordering of objects (De Borda).Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2017-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articletext/htmlapplication/pdfhttps://bjopm.org.br/bjopm/article/view/29110.14488/BJOPM.2017.v14.n3.a1Brazilian Journal of Operations & Production Management; Vol. 14 No. 3 (2017): September, 2017; 281-2872237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/291/289https://bjopm.org.br/bjopm/article/view/291/304Copyright (c) 2017 Brazilian Journal of Operations & Production Managementinfo:eu-repo/semantics/openAccessCosta, Helder Gomes2021-07-13T14:14:53Zoai:ojs.bjopm.org.br:article/291Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:11.556740Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
AHP-De Borda: a hybrid multicriteria ranking method |
title |
AHP-De Borda: a hybrid multicriteria ranking method |
spellingShingle |
AHP-De Borda: a hybrid multicriteria ranking method Costa, Helder Gomes Ranking Analytic Hierarchy Process Decision Multicriteria |
title_short |
AHP-De Borda: a hybrid multicriteria ranking method |
title_full |
AHP-De Borda: a hybrid multicriteria ranking method |
title_fullStr |
AHP-De Borda: a hybrid multicriteria ranking method |
title_full_unstemmed |
AHP-De Borda: a hybrid multicriteria ranking method |
title_sort |
AHP-De Borda: a hybrid multicriteria ranking method |
author |
Costa, Helder Gomes |
author_facet |
Costa, Helder Gomes |
author_role |
author |
dc.contributor.author.fl_str_mv |
Costa, Helder Gomes |
dc.subject.por.fl_str_mv |
Ranking Analytic Hierarchy Process Decision Multicriteria |
topic |
Ranking Analytic Hierarchy Process Decision Multicriteria |
description |
De Borda voting method was proposed in the period of French revolution to be used in a multiple decision-maker environment. Later, it was adapted to multicriteria ranking problems. The adoption of criteria weights in De Borda modeling is an evolution of the original De Borda method; despite this fact, evolution does not approach how to define the weights, that is: the weights are an input to De Borda. The proposal is to segment the problem into two ones. The first is a weight assignment problem and was approached through AHP modeling. The second problem is a ranking problem, being approached through De Borda method. AHP and De Borda are based in principles from different multicriteria Decision Schools: AHP is classified into the American School; De Borda is recognized as a French method. This paper shows that it is possible to use both methods, in a complementary way. The proposal can assist and support decision makers in the modeling of multicriteria ranking problems by assigning weights to the criteria under a systematized way. This hybrid approach proposes a better way for the structuring of the problem, by linking an approach that natively supports the assignment of weights (AHP) into another devoted to the ordering of objects (De Borda). |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/291 10.14488/BJOPM.2017.v14.n3.a1 |
url |
https://bjopm.org.br/bjopm/article/view/291 |
identifier_str_mv |
10.14488/BJOPM.2017.v14.n3.a1 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/291/289 https://bjopm.org.br/bjopm/article/view/291/304 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 14 No. 3 (2017): September, 2017; 281-287 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051460467294208 |