基于偏差熵的AHP群决策权重确定方法  

Weights of AHP group decision-making based on deviation entropy

作　　者：王泽洲[1] 陈云翔[1] 蔡忠义[1] 

机构地区：[1]空军工程大学装备管理与安全工程学院,陕西西安710051

出　　处：《合肥工业大学学报（自然科学版）》2016年第10期1420-1424,共5页Journal of Hefei University of Technology：Natural Science

基　　金：总装"十二五"国防预研基金资助项目(51327020104)

摘　　要：针对群组决策专家聚类赋权过程中,可能出现虽然专家意见不同,但是由于判断矩阵一致性比率与排序向量信息熵都相等,导致专家被赋予相同权重的问题,文章提出了一种基于偏差熵的专家聚类赋权方法。该方法基于聚类分析原理对专家群进行分类,并依据分类结果确定各专家所在类的类间权重;在各个专家类中建立偏差熵模型,依据类中各专家为达成一致性意见所贡献的程度高低确定类中各专家权重,从而得到各专家的总权重。最后,文章结合具体算例分析表明该方法是科学可行的。In order to solve the problem that the experts are given the same weight, which is caused by the case where the consistency ratio of judgment matrix and collating vector information entropy are equal although the experts＇ opinions are different in the process of group decision-making, an expert cluster weighting method based on deviation entropy is proposed. In this method, experts are classi- fied by using the clustering analysis principle, then the interclass weight is determined according to the classified results. And a deviation entropy model is built to determine the intraclass weight according to the contribution level of consensus opinion for experts and then the expert＇s overall weight. Finally, a numerical example is given to illustrate the validity and feasibility of the proposed method.

关 键 词：群组决策 聚类分析 专家赋权 偏差熵模型 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]