基于偏好的多属性群知识系统

Research of Group Knowledge System Based on Preferred Multi-Attributes

提出了基于偏好的多属性群知识系统模型,定义了封闭的处理偏好值的运算法则,得到具有偏好的多属性知识系统,并采用基于优势关系的粗集理论来处理给定问题中具有偏好属性间的冗余及依赖,由约简后的偏好属性决策表导出偏好决策规则。通过实证分析表明,该方法可获得认可的知识规则,能取得有实际意义的结果。

This paper proposes a model of group knowledge system based on preferred multiattributes,and defines a closed algorithms for this system to deal with preference values.Then the dominance rough set approach is applied to dispose the redundancy and rely between given problem＇s preferred multi-attributes and educe the preference decision rules.The results demonstrate that this method can get the recognized rules.