Reducing inconsistency measured by the geometric consistency index in the analytic hierarchy process

Juan Aguarón, María Teresa Escobar and José María Moreno-Jiménez

European Journal of Operational Research, 2021, vol. 288, issue 2, 576-583

Abstract: 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.

Keywords: Multiple criteria analysis; Analytic hierarchy process; Row geometric mean; Geometric consistency index; Inconsistency improvement (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:288:y:2021:i:2:p:576-583

DOI: 10.1016/j.ejor.2020.06.014

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