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)