Consistency adjustments for pairwise comparison matrices

被引:28
作者
Farkas, A
Lancaster, P [1 ]
Rózsa, P
机构
[1] Univ Calgary, Dept Math & Stat, Calgary, AB T2N 1N4, Canada
[2] IMC Grad Sch Business Adm, H-1051 Budapest, Hungary
[3] Tech Univ Budapest, Dept Comp Sci & Informat Theory, H-1521 Budapest, Hungary
关键词
symmetrically reciprocal; least squares; Newton-Kantorovich;
D O I
10.1002/nla.318
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is concerned with the development of a 'best' rank one transitive approximation to a general paired comparison matrix in a least-squares sense. A direct attack on the non-linear problem is frequently replaced by a sub-optimal linear problem and, here, the best procedure of this kind is obtained. The Newton-Kantorovich method for the solution of the non-linear problem is also studied, including the role of the best linear approximation as a starting point for this method. Numerical examples are included. Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:689 / 700
页数:12
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