摘要
D-S证据理论作为一种重要的数据融合方法,可有效解决不确定群决策问题。针对D-S证据理论的应用局限,提出基于粗糙集的证据合成群决策方法。该方法将决策数据先用粗糙集处理,之后再根据冲突权重选择合成。文中设计了决策算法,并以应用实例说明该方法的合理性。
As an important data fusion method, Dempster- Shafer （D- S） evidence theory can effectively solve the uncertainty problem in group decision- making. To overcome the application weaknesses of D- S evidence theory, our solution is presented. In our solution, rough set is first applied to process the original data, then D- S evidence theory is used to perform selected data aggregation according to their conflict weights. In the end, its algorithm is proposed and an example is given out to show its rationality.
出处
《技术经济与管理研究》
2007年第2期26-28,共3页
Journal of Technical Economics & Management
基金
国家自然科学基金资助项目(70572023
70471027)
关键词
群决策
D—S证据理论
粗糙集
数据融合
不确定性
Group decision- making
D- S evidence theory
Rough set
Data fusion
Uncertainty
