Clusters and pivots for evaluating a large numberof alternatives in AHP

Detalhes bibliográficos
Autor(a) principal: Ishizaka,Alessio
Data de Publicação: 2012
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100006
Resumo: AHP has been successful in many cases but it has a major limitation: a larger number of alternatives requires a high number of judgements in the comparison matrices. In order to reduce this problem,we present a method with clusters and pivots. This method also helps with a further four problems of the Analytic Hierarchy Process. It enlarges the comparison scale, facilitates the construction of a consistent or near consistent matrix, eliminates the problem of the choice of the priorities derivation method and allows the use of incomparable alternatives.
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spelling Clusters and pivots for evaluating a large numberof alternatives in AHPsupplier selectionAnalytic Hierarchy Process (AHP)Multicriteria Decision Making (MCDM)AHP has been successful in many cases but it has a major limitation: a larger number of alternatives requires a high number of judgements in the comparison matrices. In order to reduce this problem,we present a method with clusters and pivots. This method also helps with a further four problems of the Analytic Hierarchy Process. It enlarges the comparison scale, facilitates the construction of a consistent or near consistent matrix, eliminates the problem of the choice of the priorities derivation method and allows the use of incomparable alternatives.Sociedade Brasileira de Pesquisa Operacional2012-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100006Pesquisa Operacional v.32 n.1 2012reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382012005000002info:eu-repo/semantics/openAccessIshizaka,Alessioeng2012-05-02T00:00:00Zoai:scielo:S0101-74382012000100006Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2012-05-02T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Clusters and pivots for evaluating a large numberof alternatives in AHP
title Clusters and pivots for evaluating a large numberof alternatives in AHP
spellingShingle Clusters and pivots for evaluating a large numberof alternatives in AHP
Ishizaka,Alessio
supplier selection
Analytic Hierarchy Process (AHP)
Multicriteria Decision Making (MCDM)
title_short Clusters and pivots for evaluating a large numberof alternatives in AHP
title_full Clusters and pivots for evaluating a large numberof alternatives in AHP
title_fullStr Clusters and pivots for evaluating a large numberof alternatives in AHP
title_full_unstemmed Clusters and pivots for evaluating a large numberof alternatives in AHP
title_sort Clusters and pivots for evaluating a large numberof alternatives in AHP
author Ishizaka,Alessio
author_facet Ishizaka,Alessio
author_role author
dc.contributor.author.fl_str_mv Ishizaka,Alessio
dc.subject.por.fl_str_mv supplier selection
Analytic Hierarchy Process (AHP)
Multicriteria Decision Making (MCDM)
topic supplier selection
Analytic Hierarchy Process (AHP)
Multicriteria Decision Making (MCDM)
description AHP has been successful in many cases but it has a major limitation: a larger number of alternatives requires a high number of judgements in the comparison matrices. In order to reduce this problem,we present a method with clusters and pivots. This method also helps with a further four problems of the Analytic Hierarchy Process. It enlarges the comparison scale, facilitates the construction of a consistent or near consistent matrix, eliminates the problem of the choice of the priorities derivation method and allows the use of incomparable alternatives.
publishDate 2012
dc.date.none.fl_str_mv 2012-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100006
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100006
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382012005000002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.32 n.1 2012
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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