A General Unified Framework for Pairwise Comparison Matrices in Multicriterial Methods

被引:115
作者
Cavallo, B. [1 ]
D'Apuzzo, L. [1 ]
机构
[1] Univ Naples Federico 2, Dipartimento Costruz & Metodi Matemat Archite, I-80134 Naples, Italy
关键词
BINARY COMPARISON MATRICES; CONSISTENCY; RANKING;
D O I
10.1002/int.20329
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In a multicriteria decision making context, a pairwise comparison matrix A = (a(ij)) is a helpful tool to determine the weighted ranking on a set X of alternatives or criteria. The entry a(ij) of the matrix can assume different meanings: a(ij) can be a preference ratio (multiplicative case) or a preference difference (additive case) or a(ij) belongs to [0, 1] and measures the distance from the indifference that is expressed by 0.5 (fuzzy case). For the multiplicative case, a consistency index for the matrix A has been provided by T.L. Saaty in terms of maximum eigenvalue. We consider pairwise comparison matrices over an abelian linearly ordered group and. in this way, we provide a general framework including the mentioned cases. By introducing a more general notion of metric, we provide a consistency index that has a natural meaning and it is easy to compute in the additive and multiplicative cases; in the other cases, it can be computed easily starting from a suitable additive or multiplicative matrix. (C) 2009 Wiley Periodicals, Inc.
引用
收藏
页码:377 / 398
页数:22
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