Case Based Reasoning Based on Fuzzy Rough Set
This paper presents a new attribute significance measurement method based on the viewpoint of information theory of Fuzzy Rough Set.The method does not need to discretize continuous attributes included in cases,which can effectively reduce information loss,and it is suitable for the cases which contain both discrete and continuous attributes.Then it proposes a heuristic algorithm based on the new attribute significance for attribute reduction and weight distribution,and combines with the Nearest Neighbour (NN) method in case retrieve process.Finally,an example shows that this method improves accuracy and universality of the case retrieval.
fuzzy rough set attribute significant case-based reasoning weight distribution
Xingyi Li Xueling Li Huaji Shi
School of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang,Jiangsu,China
国际会议
重庆
英文
778-782
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）