AHP中广义判断矩阵排序向量的非特征根算法

THE NON EIGENVECTOR ALGORITHMS OF THE WEIGHT VECTOR OF A GENERALIZED JUDGMENT MATRIX IN AHP

本文提出层次分析法中广义判断矩阵排序向量的两种非特征根算法：“和法”及ＬＡＭ法．算法简便易行。

In this paper, two kinds of non eigenvector algorithms of the weighted vector of a generalized judgment matrix in the analytic hierarchy process, called Sum Method and LAM, are proposed. They are very feasible and easy to make it possible to apply the generalized judgment matrix.