摘要
在群体评价中,已有的信息集结算子大都没有考虑到信息分布的疏密情况.针对这种不足,提出一种基于密度算子的多阶段群体评价信息集结方法.首先给出了评价数据的分组与密度加权向量的确定方法;然后定义了两种新的算子—–密度算术加权平均算子(DMWAA)和密度有序加权平均算子(DMOWA),并分别用于评价信息的横向和纵向集结;最后给出了一个应用算例,结果表明该集结方法具有定性判断与定量分析等优良特性,且可拓展性强.
In the group evaluation,the density of information is not considered before. therefore,the paper proposes a method of multi-phase group evaluation information aggregation based on density operator. Firstly,the grouping for evaluating data and the determinate method for density-weighted vector are given. Secondly,the following two new operators are concerned,the density-weighted average operator （DMWAA） and the density-weighted average operator in an orderly manner （DMOWA）. The former is adopted when gathering the horizontal evaluation information for single-stage,and the later is adopted when aggregating the vertical evaluated information for between-stage. Finally,a numerical example shows the validity for the proposed method in qualitative and quantitative analysis.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第7期993-997,共5页
Control and Decision
基金
国家自然科学基金项目(70472032
70801013)
中国博士后科学基金项目(20080441094)
辽宁省财政科研基金项目(2007B002)
关键词
密度算子
群体评价
多阶段
权重
Density operator
Group evaluation
Multi-stage
Weight
