Particle Swarm Algorithm for Weight Estimation of Incomplete Comparison Matrix

机译：不完全比较矩阵重量估计的粒子群算法

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It is very important to estimate incomplete comparisons data to have alternative's weights. To solve the lack of Harker's 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.

机译：估计不完整的比较数据以具有替代的权重非常重要。为了解决缺乏Harker的方法，即它无法估计不完全成对比较矩阵的不确定性，基于几种处理方法的分析，建立了最小化最大特征值问题的标准。提出了一种基于粒子群优化优化的算法来处理这个问题。该示例显示新算法是有效的。

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《International conference on information technology and industrial engineering》|2010年||共4页
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作者
Shang Gao;
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中图分类信息与知识传播;
关键词
analytic hierarchy process; incomplete comparison matrix; particle swarm algorithm;

机译：分析层次过程;不完整的比较矩阵;粒子群算法;

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Particle Swarm Algorithm for Weight Estimation of Incomplete Comparison Matrix

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