火力与指挥控制2016，Vol.41Issue(9)：61-65,5.
基于偏差熵的专家聚类赋权方法
Expert Cluster Weighting Method Based on Deviation Entropy
摘要
Abstract
In order to settle the matter that the experts are given the same weight,which is caused by the case where the consistency ration of judgment matrix and information entropy of priority vector are equal although the expert’s opinion is different in the process of group decision-making,an expert cluster weighting method based on deviation entropy is proposed. This method uses the clustering analysis principle to classify experts by constructing the similarity coefficient proportionally;then introduces the consistency weight of expert judgment matrix and synthesizes the class capacity which can define the weights of indexes to illustrate the difference between classes,and the experts’between-class weights are defined;finally,the deviation entropy models are built for every experts classes to define the experts’within-class weights according to the experts’contribution level of consensus opinion,and the expert’s overall weight is determined. The numerical examples show the effectiveness and feasibility of the proposed method.关键词
群决策/聚类分析/偏差熵/专家权重/判断矩阵Key words
group decision-making/clustering analysis/deviation entropy/experts’weights/judg-ment matrix分类
通用工业技术引用本文复制引用
王泽洲,陈云翔,蔡忠义,林思铭..基于偏差熵的专家聚类赋权方法[J].火力与指挥控制,2016,41(9):61-65,5.基金项目
总装“十二五”国防基金资助项目 （）
