群决策专家权重自适应算法研究  

Research on self-adjusting algorithm of group decision-making experts' weight

作　　者：王俊英[1,2] 李德华[1] 

机构地区：[1]华中科技大学图像识别与人工智能研究所,武汉430074 [2]三峡大学计算机与信息学院,湖北宜昌443000

出　　处：《计算机应用研究》2011年第2期532-535,540,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(69775022);国家高技术研究发展计划资助项目(863-306-ZT04-06-3)

摘　　要：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.

关 键 词：多属性群决策 专家权重 逼近理想解排序法 决策关联度 自适应调整 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]