Reducing inconsistency measured by the geometric consistency index in the analytic hierarchy process
Aguarón, J. (Universidad de Zaragoza) ; Escobar, M.T. (Universidad de Zaragoza) ; Moreno-Jiménez, J.M. (Universidad de Zaragoza)
Resumen: This paper presents a theoretical framework and a procedure for revising the judgements and improving the inconsistency of an Analytic Hierarchy Process (AHP) pairwise comparison matrix when the Row Geometric Mean (RGM) is used as the prioritisation procedure and the Geometric Consistency Index (GCI) is the inconsistency measure. Inconsistency is improved by slightly modifying the judgements that further reduce the GCI. Both the judgements and the derived priority vector will be close to the initial values. A simulation study is utilised to analyse the performance of the algorithm. The proposed framework allows the specification of the procedure to particular interests. A numerical example illustrates the proposed procedure.
Idioma: Inglés
DOI: 10.1016/j.ejor.2020.06.014
Año: 2021
Publicado en: European Journal of Operational Research 288, 2 (2021), 576-583
ISSN: 0377-2217
Factor impacto JCR: 6.363 (2021)
Categ. JCR: OPERATIONS RESEARCH & MANAGEMENT SCIENCE rank: 17 / 87 = 0.195 (2021) - Q1 - T1
Factor impacto CITESCORE: 10.5 - Computer Science (Q1) - Mathematics (Q1) - Decision Sciences (Q1)
Factor impacto SCIMAGO: 2.354 - Computer Science (miscellaneous) (Q1) - Modeling and Simulation (Q1) - Management Science and Operations Research (Q1) - Industrial and Manufacturing Engineering (Q1)
Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/S35-17R
Tipo y forma: Article (PrePrint)
Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Economía Aplicada)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2024-01-04-09:06:28)
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Idioma: Inglés
DOI: 10.1016/j.ejor.2020.06.014
Año: 2021
Publicado en: European Journal of Operational Research 288, 2 (2021), 576-583
ISSN: 0377-2217
Factor impacto JCR: 6.363 (2021)
Categ. JCR: OPERATIONS RESEARCH & MANAGEMENT SCIENCE rank: 17 / 87 = 0.195 (2021) - Q1 - T1
Factor impacto CITESCORE: 10.5 - Computer Science (Q1) - Mathematics (Q1) - Decision Sciences (Q1)
Factor impacto SCIMAGO: 2.354 - Computer Science (miscellaneous) (Q1) - Modeling and Simulation (Q1) - Management Science and Operations Research (Q1) - Industrial and Manufacturing Engineering (Q1)
Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/S35-17R
Tipo y forma: Article (PrePrint)
Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Economía Aplicada)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2024-01-04-09:06:28)
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Record created 2024-01-04, last modified 2024-01-04