为获得科学合理的群体决策结果,并在综合集成研讨厅中维护一个动态的专家权重信息库,提出了一种基于TOPSIS法和灰色关联度的专家权重自适应调整算法,算法综合考虑了专家个体与群体在方案重要属性以及方案序的判定上的相似度,并根据决策问题的不同,对算法的参数进行相应选取,算例表明算法是有效的,收敛速度也比较快。
In order to obtain scientific rational group decision—making results and maintain a dynamic experts' weight information base in HWME(hall for workshop of meta synthesis engineering),this paper proposed an experts' weight self-adaptive adjustment algorithm based on TOPSIS method and grey correlation degree.This algorithm took into account the similarity between the individuals and groups of experts in the judge on the important attributes and order of the alternatives.Meanwhile,according to different decision-making problems,this algorithm could select corresponding parameter.Numerical example shows that the algorithm is effective and its convergence rate is relatively fast.