摘要
提出了判断矩阵排序的一类新方法——广义最小平方法(GLSM),并研究了其优良性质,同时给出了其收敛性迭代算法和仿真实例。理论分析和仿真结果表明:应用GLSM是可行且有效的。
This paper proposes a new class of priority methods of comparison matrix in analytic hierarchy process——the generalized least square methods(GLSM), studies their properties and also gives a convergent iterative algorithm and a simulation example. Theoretical analytic and simulation results show that GLSM are both feasible and effective.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
1998年第9期38-43,共6页
Systems Engineering-Theory & Practice
关键词
层次分析
判断矩阵
广义最小平方法
排序
analytic hierarchy process
comparison matrix
the generalized least square methods