研究层次分析法中不完全判断矩阵的若干问题,基于随机确定性判断矩阵的概念,定义不完全判断矩阵局部一致性和局部满意一致性,并建立判别不完全判断矩阵是否具有局部满意一致性的数学概念模型;针对Harker方法没有充分估计不完全判断矩阵内含不确定性的缺点,建立一个新模型来估计权重的上、下限范围,模型采用颗粒群优化算法求解.
This paper studies several problems of the incomplete pairwise comparison matrix (LPCM) in the analytical hierarchy process. According to the definition of stochastic crisp comparison matrix, the local consistency and the local satisfactory consistency of LPCM are defined. Then, a mathematical notion model is developed to determine whether the IPCM is consistent or not. In addition, to solve the lack of Harker's method that it can not estimate the uncertainty of the incomplete pairwise comparison matrix, a new weight model is put forward, which is solved by particle swarm optimization algorithm to estimate the weight' s upper range and low range.