Particle Swarm Algorithm for Weight Estimation of Incomplete Comparison Matrix

摘要：

It is very important to estimate incomplete comparisons data to have alternatives weights. To solve the lack of Harkers method that it can not estimate the uncertainty of the incomplete pairwise comparison matrix, based on analysis of several processing methods, the criterion to minimize problem of the largest eigenvalue is established. An algorithm based on particle swarm optimization is proposed to process this problem. The example shows that the new algorithm is effective.

关键词： analytic hierarchy process incomplete comparison matrix particle swarm algorithm

作者: Shang Gao

作者单位: School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003 China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 704-707

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）