摘要
为降低基于修正差别矩阵的属性约简算法的复杂度,给出了基于修正差别矩阵的简化差别矩阵,证明了基于该简化差别矩阵的属性约简定义与基于原修正差别矩阵的属性约简定义是等价的.在此基础上设计了一个基于简化差别矩阵的属性约简算法,其空间和时间复杂度分别被降为O(|C|(|U′pos||U/C|))和max{O(|C|2(|Up′os||U/C|)),O(|C||U|log|U|)}.实例说明:用新算法进行属性约简,不仅减少了计算量,而且减少了存储空间,因而是一种高效的属性约简算法.
In order to reduce the time and space complexity of algorithm for attribute reduction based on modificatory discernibility matrix, a simplified discernibility matrix based on modificatory discernibility matrix is proposed. At the same time, it is proved that the definition of attribute reduction based on this simplified discernibility matrix is equivalence to the old definition. On this condition, an algorithm for attribute reduction based on the simplified discernibility matrix is designed. The space and time complexity of the new algorithm are cut down to O(|C|(|U'pos||U/C|)) and max{O(|C|^2(|U'pos||U/C|)),P(|C||U||log|U|)}. respectively. An example is used to illustrate the efficiency of the new algorithm, which can reduce the amount of computation and storage space.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2007年第9期110-113,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(60675030)
山东省教育厅科技计划资助项目(J06G01)
济南大学科研基金资助项目(Y0614)
关键词
粗糙集
修正的差别矩阵
简化的差别矩阵
属性约简
复杂度
rough set
modificatory discernibility matrix
simplified discernibility matrix
attribute reduction
complexity