Multi-Criteria Decision Model based on AHP and Linguistic Information

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...

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Autores principales: Karanik, Marcelo J., Gramajo, Sergio D., Wanderer, Leonardo S., Gimenez, Manuel, Carpintero, Diana
Formato: Articulo
Lenguaje:Inglés
Publicado: 2014
Materias:
AHP
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/34539
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr14-3.pdf
Aporte de:
id I19-R120-10915-34539
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
MCDA
alternative
framework
AHP
decision making techniques
spellingShingle Ciencias Informáticas
MCDA
alternative
framework
AHP
decision making techniques
Karanik, Marcelo J.
Gramajo, Sergio D.
Wanderer, Leonardo S.
Gimenez, Manuel
Carpintero, Diana
Multi-Criteria Decision Model based on AHP and Linguistic Information
topic_facet Ciencias Informáticas
MCDA
alternative
framework
AHP
decision making techniques
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.
format Articulo
Articulo
author Karanik, Marcelo J.
Gramajo, Sergio D.
Wanderer, Leonardo S.
Gimenez, Manuel
Carpintero, Diana
author_facet Karanik, Marcelo J.
Gramajo, Sergio D.
Wanderer, Leonardo S.
Gimenez, Manuel
Carpintero, Diana
author_sort Karanik, Marcelo J.
title Multi-Criteria Decision Model based on AHP and Linguistic Information
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
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/34539
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr14-3.pdf
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AT carpinterodiana multicriteriadecisionmodelbasedonahpandlinguisticinformation
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