层次分析中判断矩阵排序的最小偏差二乘法

Least Deviations Square Priority Method of Comparison Matrix in the Analytic Hierarchy Process

提出了层次分析中判断矩阵排序的一种新方法——最小偏差二乘法 ( LDSM) ,并研究了它的优良性质 ,同时给出了其简洁的收敛性迭代算法及仿真算例。理论分析和仿真结果表明 ,应用

This paper proposes the least deviations square priority method (LDSM) of comparison matrix in the Analytic Hierarchy process, and studies its properties and also gives a simple convergent iterative algorithm and a simulation example. Theoretical analyses and simulation results all show that the LDSM is feasible and effective.