基于优势粗糙集与灰聚类的电子资源质量评价研究  

STUDY ON EVALUATING ELECTRONIC RESOURCES QUALITY BASED ON DOMINANCE ROUGH SETS THEORY AND GREY CLUSTERING

作　　者：高建山[1,2] 鲁士文[3] 郑艳玲[2] 

机构地区：[1]中国科学院研究生院,北京100049 [2]衡水学院,河北衡水053000 [3]中国科学院计算技术研究所,北京100190

出　　处：《计算机应用与软件》2010年第9期149-153,159,共6页Computer Applications and Software

摘　　要：在对电子资源质量综合评价的过程中,将基于优势关系的粗糙集理论与灰色聚类理论相结合,讨论了对于只有条件属性值,但没有决策属性值的信息系统,通过运用灰色聚类理论对数据集进行预处理,用灰类作为决策属性值,从而构建完整的决策表,运用优势粗糙集理论提取偏好决策规则的方法。并通过实例应用,验证了该方法的可行性与有效性。In the process of evaluating comprehensively the electronic resources quality, the author combines the dominance rough sets theory with the grey clustering, and discusses the information systems in which there are only the condition attribute values but without the deci- sion condition attribute values. By applying grey clustering theory to pre-treating the data sets,and using grey clustering as the decision attrib- ute values,the author constructs a complete decision table,and applies dominance rough sets theory to extract the preference decision rules. The feasibility and effectiveness of this method have been verified by the example application.

关 键 词：优势粗糙集 灰色聚类 电子资源质量 评价 三角模糊数 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]