Computer Science ›› 2014, Vol. 41 ›› Issue (7): 236-241.doi: 10.11896/j.issn.1002-137X.2014.07.049
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HUANG Guo-shun,ZENG Fan-zhi and WEN Han
[1] Pawlak Z.Rough set [J].Commucation of the ACM,1995,38(11):89-95 [2] Hu X H,Cerene N.Learning in relational databases:a rough set approach [J].International Journal of Computation Intelligence,1995,11(2):323-338 [3] 王国胤,于洪,杨大春.基于条件信息熵的决策表约简[J].计算机学报,2002,25(7):759-766 [4] Wang G Y,Zhao J,An J J,et al.A comparative study of algebra viewpoint and information viewpoint in attribute reduction [J].Fundamenta Informaticae,2005,68(3):289-301 [5] Liang J Y,Wang F,Dang C Y,et al.An efficient rough feature selection algorithm with a multi-granulation view [J].International Journal of Approximate Reasoning,2012,53(6):912-926 [6] 陈玉明,吴克寿,谢荣生.基于相对知识粒度的决策表约简[J].山东大学学报:工学版,2012,2(6):8-12 [7] Qian Y H,Liang J Y,Pedrycz W,et al.Positive approximation:an accelerator for attribute reduction in rough set [J].Artificial Intelligence,2010,174(9/10):597-618 [8] 葛浩,李龙澍,杨传健.新的可分辨矩阵及其约简方法[J].控制与决策,2010,5(12):1891-1895 [9] 刘启和,李凡,闵帆,等.一种基于新的条件信息熵的高效知识约简算法[J].控制与决策,2005,0(8):878-882 [10] 马胜蓝,叶东毅.信息熵最小约简问题的若干随机优化算法[J].模式识别与人工智能,2012,25(1):96-104 [11] 钱文彬,杨柄儒,徐章艳,等.基于信息熵的核属性增量式高效更新算法[J].模式识别与人工智能,2013,26(1):42-49 [12] 蒋云良,杨章显,刘勇.不协调信息系统快速属性分布约简方法[J].自动化学报,2012,38(3):382-388 [13] 钱进,叶飞跃,孟祥萍,等.一种基于新的条件信息量的属性约简算法[J].系统工程与电子技术,2007,9(12):2154-2157 [14] 黄国顺,刘云生.不一致决策表信息熵约简与代数约简的核计算与转化[J].小型微型计算机系统,2008,29(2):308-312 [15] 黄国顺,刘云生.不一致决策表各种属性约简的不一致性分析与转化[J].小型微型计算机系统,2008,29(4)703-708 [16] 徐章艳,刘作鹏,杨炳儒,等.一个复杂度为max(O(|C||U|),O(|C|2|U/C|))的快速属性约简算法[J].计算机学报,2006,29(3):391-399 [17] Blake C L,Merz C J.UCI Repository of Machine Learning Databases,University of Califonia at Irvine.http://www.ics.uci.edu/~mlearn/MLRepositioy.html,1998 [18] Liang J Y,Qian Y H.Information granularity and entropy theoryin information system [J].Science in China,(F),2008,51(10):1427-1444 |
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