基于粒子群优化算法的残缺判断矩阵修补  

A Method of Incomplete AHP Judgment Matrix Patching Based on Particle Swarm Optimization

作　　者：李富萍[1] 张建华[2] 

机构地区：[1]太原科技大学计算机学院,太原030024 [2]中北大学电子与计算机科学技术学院,太原030051

出　　处：《太原科技大学学报》2012年第5期358-362,共5页Journal of Taiyuan University of Science and Technology

基　　金：太原科技大学青年基金项目(20093014)

摘　　要：层次分析法中残缺判断矩阵的修补可以归结为一个在满足一致性比例条件下为残缺要素寻找最合适的值的优化问题。针对这个优化问题,提出利用粒子群算法修补残缺判断矩阵的算法。文中对基于粒子群优化算法的残缺判断矩阵修补基本思路进行了介绍,然后给出了具体的算法描述,最后给出实验数据及其分析。实验结果验证了此算法的有效性。The patch of incomplete AHP judgment matrix can be attributed to a optimization problem to seek the best value and the consistency index of the judgment matrix is satisfied. An algorithm for incomplete judgment matrix patching by using the Particle Swarm Optimization was presented in this paper. First, the method of incomplete judgment matrix patching was introduced, and then the algorithm was described in detail. Finally, the experimental data and the analysis are given. Experimental results proved the effectiveness of such algorithm.

关 键 词：层次分析法 残缺判断矩阵 粒子群优化算法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]