Some mathematical comments about the analytic hierarchy process: Part I – theoretical analysis

IF 1.9 Q3 MANAGEMENT
Gustavo B. Alvarez, Rafael G. de Almeida, Cecilia T. Hernández, Patrícia A. P. de Sousa
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引用次数: 3

Abstract

The Analytic Hierarchy Process (AHP) is a decision making method, which has as its greatest criticism the rank reversal effect. Here a new mathematical analysis of this method is performed, and three new results are highlighted. First, the method is formulated as a linear system of equations, where it is possible to assign a geometric interpretation, determine the number of possible solutions, and perform an sensitivity analysis based on the condition number of the matrix. Second, the causes of rank reversal can be encompassed by two mathematical aspects related to the properties of the matrix of AHP: high condition number and deficient rank. When the matrix is deficient rank, it is possible to obtain a condensed formulation of the AHP with a new full rank matrix. This guarantees greater stability to the method. Third, some mathematical results can be used as a robustness test for the matrix of AHP.

关于层次分析法的一些数学评注:第一部分理论分析
层次分析法(AHP)是一种决策方法,其最大的缺点是等级反转效应。本文对该方法进行了新的数学分析,并重点介绍了三个新的结果。首先,该方法被表述为一个线性方程组,其中可以分配一个几何解释,确定可能的解决方案的数量,并根据矩阵的条件数执行灵敏度分析。其次,秩反转的原因可以包含在与AHP矩阵性质相关的两个数学方面:高条件数和缺秩。当矩阵是亏秩矩阵时,可以用新的满秩矩阵得到AHP的简化形式。这保证了方法更大的稳定性。第三,一些数学结果可以作为层次分析法矩阵的稳健性检验。
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来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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