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

被引：60

作者：

Aguaron, Juan ^{[1
]}

Escobar, Maria Teresa ^{[1
]}

Moreno-Jimenez, Jose Maria ^{[1
]}

机构：

[1] Univ Zaragoza, Fac Econ & Empresa, Grp Decis Multicriterio Zaragoza, Zaragoza, Spain

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2021年 / 288卷 / 02期

关键词：

Multiple criteria analysis; Analytic hierarchy process; Row geometric mean; Geometric consistency index; Inconsistency improvement; DECISION-MAKING; PRIORIZATION PROCEDURE; STABILITY INTERVALS; AHP; JUDGMENT; MATRIX;

D O I：

10.1016/j.ejor.2020.06.014

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

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. (C) 2020 Elsevier B.V. All rights reserved.

引用

页码：576 / 583

页数：8

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