Particle Swarm Algorithm for Weight Estimation of Incomplete Comparison Matrix

摘要

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.