Multi-Criteria Decision Model based on AHP and Linguistic Information

Autores
Karanik, Marcelo J.; Gramajo, Sergio D.; Wanderer, Leonardo S.; Gimenez, Manuel; Carpintero, Diana
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Multi-Criteria Decision Analysis (MCDA) is a usual activity among organisations and decisions related to people’s activities. Due to the complexity of considering multiple criteria, to select an alternative is a non-trivial task. From operative levels to managerial ones, MCDA is implemented by using several (formal and informal) techniques. Two useful techniques that help to make a decision are the Analytic Hierarchy Process (AHP) and MCDA models based on Linguistic Information (LI). This work describes a MCDA framework that combines the mentioned techniques in order to provide more confidence in the decision making process. To test the proposed model, framework was used to select the adequate network configuration to improve quality of service (QoS). Finally, the framework’s outputs were compared to real experts’ opinions obtaining satisfactory results. Keywords: IPv6 deployment, IPv6 transition solutions, performance analysis, DNS64, TOTD, security, cache poisoning attack, random permutation.
Facultad de Informática
Materia
Ciencias Informáticas
MCDA
alternative
framework
AHP
decision making techniques
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/34539
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/34539
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Multi-Criteria Decision Model based on AHP and Linguistic InformationKaranik, Marcelo J.Gramajo, Sergio D.Wanderer, Leonardo S.Gimenez, ManuelCarpintero, DianaCiencias InformáticasMCDAalternativeframeworkAHPdecision making techniquesMulti-Criteria Decision Analysis (MCDA) is a usual activity among organisations and decisions related to people’s activities. Due to the complexity of considering multiple criteria, to select an alternative is a non-trivial task. From operative levels to managerial ones, MCDA is implemented by using several (formal and informal) techniques. Two useful techniques that help to make a decision are the Analytic Hierarchy Process (AHP) and MCDA models based on Linguistic Information (LI). This work describes a MCDA framework that combines the mentioned techniques in order to provide more confidence in the decision making process. To test the proposed model, framework was used to select the adequate network configuration to improve quality of service (QoS). Finally, the framework’s outputs were compared to real experts’ opinions obtaining satisfactory results. Keywords: IPv6 deployment, IPv6 transition solutions, performance analysis, DNS64, TOTD, security, cache poisoning attack, random permutation.Facultad de Informática2014-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf16-24http://sedici.unlp.edu.ar/handle/10915/34539enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr14-3.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:31:43Zoai:sedici.unlp.edu.ar:10915/34539Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:31:43.987SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Multi-Criteria Decision Model based on AHP and Linguistic Information
title Multi-Criteria Decision Model based on AHP and Linguistic Information
spellingShingle Multi-Criteria Decision Model based on AHP and Linguistic Information
Karanik, Marcelo J.
Ciencias Informáticas
MCDA
alternative
framework
AHP
decision making techniques
title_short Multi-Criteria Decision Model based on AHP and Linguistic Information
title_full Multi-Criteria Decision Model based on AHP and Linguistic Information
title_fullStr Multi-Criteria Decision Model based on AHP and Linguistic Information
title_full_unstemmed Multi-Criteria Decision Model based on AHP and Linguistic Information
title_sort Multi-Criteria Decision Model based on AHP and Linguistic Information
dc.creator.none.fl_str_mv Karanik, Marcelo J.
Gramajo, Sergio D.
Wanderer, Leonardo S.
Gimenez, Manuel
Carpintero, Diana
author Karanik, Marcelo J.
author_facet Karanik, Marcelo J.
Gramajo, Sergio D.
Wanderer, Leonardo S.
Gimenez, Manuel
Carpintero, Diana
author_role author
author2 Gramajo, Sergio D.
Wanderer, Leonardo S.
Gimenez, Manuel
Carpintero, Diana
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
MCDA
alternative
framework
AHP
decision making techniques
topic Ciencias Informáticas
MCDA
alternative
framework
AHP
decision making techniques
dc.description.none.fl_txt_mv Multi-Criteria Decision Analysis (MCDA) is a usual activity among organisations and decisions related to people’s activities. Due to the complexity of considering multiple criteria, to select an alternative is a non-trivial task. From operative levels to managerial ones, MCDA is implemented by using several (formal and informal) techniques. Two useful techniques that help to make a decision are the Analytic Hierarchy Process (AHP) and MCDA models based on Linguistic Information (LI). This work describes a MCDA framework that combines the mentioned techniques in order to provide more confidence in the decision making process. To test the proposed model, framework was used to select the adequate network configuration to improve quality of service (QoS). Finally, the framework’s outputs were compared to real experts’ opinions obtaining satisfactory results. Keywords: IPv6 deployment, IPv6 transition solutions, performance analysis, DNS64, TOTD, security, cache poisoning attack, random permutation.
Facultad de Informática
description Multi-Criteria Decision Analysis (MCDA) is a usual activity among organisations and decisions related to people’s activities. Due to the complexity of considering multiple criteria, to select an alternative is a non-trivial task. From operative levels to managerial ones, MCDA is implemented by using several (formal and informal) techniques. Two useful techniques that help to make a decision are the Analytic Hierarchy Process (AHP) and MCDA models based on Linguistic Information (LI). This work describes a MCDA framework that combines the mentioned techniques in order to provide more confidence in the decision making process. To test the proposed model, framework was used to select the adequate network configuration to improve quality of service (QoS). Finally, the framework’s outputs were compared to real experts’ opinions obtaining satisfactory results. Keywords: IPv6 deployment, IPv6 transition solutions, performance analysis, DNS64, TOTD, security, cache poisoning attack, random permutation.
publishDate 2014
dc.date.none.fl_str_mv 2014-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/34539
url http://sedici.unlp.edu.ar/handle/10915/34539
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr14-3.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
16-24
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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