论文:2013,Vol:31,Issue(2):255-258
引用本文:
张彦峰. 基于灰色关联分析的相对熵集结模型[J]. 西北工业大学
Zhang Yanfeng. An Effective REM Assembly Based on the Grey Correlation Analysis[J]. Northwestern polytechnical university

基于灰色关联分析的相对熵集结模型
张彦峰
西北工业大学 机电学院, 陕西 西安 710072
摘要:
针对传统的相对熵集结模型在赋权方面存在的缺陷,提出了一种基于灰色关联分析的REM。首先应用数值代数中的幂法得到理想的评分向量,再应用灰色关联分析计算理想评分向量与各个专家的评分向量之间的关联度,以此作为专家权重系数,最后将专家权重应用于相对熵集结模型中,来集结专家群组的一致性。通过对嵌入式计算机的性能评价结果表明该方法是有效的,而且可靠性得到很大的提高。
关键词:    权重    相对熵集结模型    灰色系统理论    灰色关联分析理论   
An Effective REM Assembly Based on the Grey Correlation Analysis
Zhang Yanfeng
School of Mechatronics,Northwestern Polytechnical University,Xi'an 710072,China
Abstract:
In view of the irrationality of traditional REM assembly in assigning weights,which can result in wrongevaluation results in a group decision-making, we present the REM assembly based on the grey correlation analysis,which we believe is effective. Firstly,we constructed the ideal score vector by the power method,and the weightsof each decision-maker are calculated by the grey correlation degree between the decision results of each individualand the ideal score vector. Finally,we apply weights to relative entropy assembly model to assemble group consis-tency. A numerical example is given in section 2 of the full paper; the simulation results and their analysis showpreliminarily the effectiveness of this algorithm.
Key words:    algorithms    computer simulation    decision making    efficiency    embedded systems    entropy;grey cor-relation analysis    relative entropy    weight   
收稿日期: 2012-06-02     修回日期:
DOI:
基金项目: 国家自然科学基金(60573101)资助
通讯作者:     Email:
作者简介: 张彦峰(1968-),西北工业大学博士研究生,主要从事决策支持系统、知识系统及管理信息系统工程的研究。
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