Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)

Autores
Wanderer, Leonardo S.; Karanik, Marcelo J.; Carpintero, Diana
Año de publicación
2013
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Making Decision in non-structured problems is not a simple task. For this reason, decision makers use Decision Support Systems (DSS). These kinds of systems implement techniques and algorithms in order to improve the decision process. Analytic Hierarchy Process (AHP) is one of these techniques which yields a ranking scale of alternatives based on criteria and alternative matrices. These matrices make a pairwise comparison between a set of elements compared and must be complete and consistent in order to be processed with AHP. Incompleteness and inconsistency emerge as a consequence of the large data required to be compared by an expert, which exceeds his or her human abilities. Genetic Algorithms (GA) is a powerful used technique which provides simplicity, broad applicability and flexibility for search problems. In this work a GA model is exposed, being its aims to help the expert to fill the matrix and provide reasonable judgments by suggesting possible values.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
decision making
AHP
genetic algorithms
inconsistency
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/76353
Acceder
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network_name_str SEDICI (UNLP)
spelling Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)Wanderer, Leonardo S.Karanik, Marcelo J.Carpintero, DianaCiencias Informáticasdecision makingAHPgenetic algorithmsinconsistencyMaking Decision in non-structured problems is not a simple task. For this reason, decision makers use Decision Support Systems (DSS). These kinds of systems implement techniques and algorithms in order to improve the decision process. Analytic Hierarchy Process (AHP) is one of these techniques which yields a ranking scale of alternatives based on criteria and alternative matrices. These matrices make a pairwise comparison between a set of elements compared and must be complete and consistent in order to be processed with AHP. Incompleteness and inconsistency emerge as a consequence of the large data required to be compared by an expert, which exceeds his or her human abilities. Genetic Algorithms (GA) is a powerful used technique which provides simplicity, broad applicability and flexibility for search problems. In this work a GA model is exposed, being its aims to help the expert to fill the matrix and provide reasonable judgments by suggesting possible values.Sociedad Argentina de Informática e Investigación Operativa2013-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf169-180http://sedici.unlp.edu.ar/handle/10915/76353enginfo:eu-repo/semantics/altIdentifier/url/http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASAI/15.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:45:27Zoai:sedici.unlp.edu.ar:10915/76353Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:45:28.007SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
title Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
spellingShingle Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
Wanderer, Leonardo S.
Ciencias Informáticas
decision making
AHP
genetic algorithms
inconsistency
title_short Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
title_full Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
title_fullStr Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
title_full_unstemmed Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
title_sort Genetic Algorithms Applied to Inconsistent Matrices Correction in the Analytic Hierarchy Process (AHP)
dc.creator.none.fl_str_mv Wanderer, Leonardo S.
Karanik, Marcelo J.
Carpintero, Diana
author Wanderer, Leonardo S.
author_facet Wanderer, Leonardo S.
Karanik, Marcelo J.
Carpintero, Diana
author_role author
author2 Karanik, Marcelo J.
Carpintero, Diana
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
decision making
AHP
genetic algorithms
inconsistency
topic Ciencias Informáticas
decision making
AHP
genetic algorithms
inconsistency
dc.description.none.fl_txt_mv Making Decision in non-structured problems is not a simple task. For this reason, decision makers use Decision Support Systems (DSS). These kinds of systems implement techniques and algorithms in order to improve the decision process. Analytic Hierarchy Process (AHP) is one of these techniques which yields a ranking scale of alternatives based on criteria and alternative matrices. These matrices make a pairwise comparison between a set of elements compared and must be complete and consistent in order to be processed with AHP. Incompleteness and inconsistency emerge as a consequence of the large data required to be compared by an expert, which exceeds his or her human abilities. Genetic Algorithms (GA) is a powerful used technique which provides simplicity, broad applicability and flexibility for search problems. In this work a GA model is exposed, being its aims to help the expert to fill the matrix and provide reasonable judgments by suggesting possible values.
Sociedad Argentina de Informática e Investigación Operativa
description Making Decision in non-structured problems is not a simple task. For this reason, decision makers use Decision Support Systems (DSS). These kinds of systems implement techniques and algorithms in order to improve the decision process. Analytic Hierarchy Process (AHP) is one of these techniques which yields a ranking scale of alternatives based on criteria and alternative matrices. These matrices make a pairwise comparison between a set of elements compared and must be complete and consistent in order to be processed with AHP. Incompleteness and inconsistency emerge as a consequence of the large data required to be compared by an expert, which exceeds his or her human abilities. Genetic Algorithms (GA) is a powerful used technique which provides simplicity, broad applicability and flexibility for search problems. In this work a GA model is exposed, being its aims to help the expert to fill the matrix and provide reasonable judgments by suggesting possible values.
publishDate 2013
dc.date.none.fl_str_mv 2013-09
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info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/76353
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1850-2784
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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169-180
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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