[1]钱进,朱亚炎.面向成组对象集的增量式属性约简算法[J].智能系统学报,2016,11(4):496-502.[doi:10.11992/tis.201606005]
 QIAN Jin,ZHU Yayan.An incremental attribute reduction algorithm for group objects[J].CAAI Transactions on Intelligent Systems,2016,11(4):496-502.[doi:10.11992/tis.201606005]
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面向成组对象集的增量式属性约简算法

参考文献/References:
[1] PAWLAK Z. Rough sets[J]. International journal of computer & information sciences, 1982, 11(5):341-356.
[2] SKOWRON A, RAUSZER C. The discernibility matrices and functions in information systems[M]//SLOWINSKI R. Intelligent Decision Support, Handbook of Applications and Advances of the Rough Sets Theory. Netherlands:Springer, 1992:311-362.
[3] 苗夺谦, 胡桂荣. 知识约简的一种启发式算法[J]. 计算机研究与发展, 1999, 36(6):681-684. MIAO Duoqian, HU Guirong. A heuristic algorithm for reduction of knowledge[J]. Journal of computer research and development, 1999, 36(6):681-684.
[4] 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. WANG Guoyin, YU Hong, YANG Dachun. Decision table reduction based on conditional information entropy[J]. Chinese journal of computers, 2002, 25(7):759-766.
[5] HU Feng, WANG Guoyin, HUANG Hai, et al. Incremental attribute reduction based on elementary sets[M]//SLEZAK D, WANG Guoyin, SZCZUKA M, et al. Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. Berlin Heidelberg:Springer, 2005:185-193.
[6] 杨明. 一种基于改进差别矩阵的属性约简增量式更新算法[J]. 计算机学报, 2007, 30(5):815-822. YANG Ming. An incremental updating algorithm for attribute reduction based on improved discernibility matrix[J]. Chinese journal of computers, 2007, 30(5) 815-822.
[7] 冯少荣, 张东站. 一种高效的增量式属性约简算法[J]. 控制与决策, 2011, 26(4):495-500. FENG Shaorong, ZHANG Dongzhan. Effective incremental algorithm for attribute reduction[J]. Control and decision, 2011, 26(4):495-500.
[8] 尹林子, 阳春华, 王晓丽, 等. 基于标记可辨识矩阵的增量式属性约简算法[J]. 自动化学报, 2014, 40(3):397-404. YIN Linzi, YANG Chunhua, WANG Xiaoli, et al. An incremental algorithm for attribute reduction based on labeled discernibility matrix[J]. Acta automatica sinica, 2014, 40(3):397-404.
[9] SHU Wenhao, SHEN Hong. Updating attribute reduction in incomplete decision systems with the variation of attribute set[J]. International journal of approximate reasoning, 2014, 55(3):867-884.
[10] CHEN Hongmei, LI Tianrui, LUO Chuan, et al. A Decision-theoretic rough set approach for dynamic data mining[J]. IEEE transactions on fuzzy systems, 2015, 23(6):1958-1970.
[11] LIANG Jiye, WANG Feng, DANG Chuangyin, et al. A group incremental approach to feature selection applying rough set technique[J]. IEEE transactions on knowledge and data engineering, 2014, 26(2):294-308.
[12] QIAN Jin, YE Feiyue, LV Ping. An incremental attribute reduction algorithm in decision table[C]//Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Yantai, China:IEEE, 2010, 4:1848-1852.
[13] QIAN Jin, MIAO Duoqian, ZHANG Zehua, et al. Hybrid approaches to attribute reduction based on indiscernibility and discernibility relations[J]. International journal of approximate reasoning, 2011, 52(2):212-230.
[14] QIAN Jin, MIAO Duoqian, ZHANG Zehua, et al. Parallel attribute reduction algorithms using MapReduce[J]. Information sciences, 2014, 279:671-690.
[15] 康向平, 苗夺谦. 一种基于概念格的集值信息系统中的知识获取方法[J]. 智能系统学报, 2016, 11(3):287-293. KANG Xiangping, MIAO Duoqian. A knowledge acquisition method based on concept latticein set-valued information systems[J]. CAAI transactions on intelligent systems, 2016, 11(3):287-293.
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备注/Memo

收稿日期:2014-06-02。
基金项目:江苏省自然科学基金项目(BK20141152);教育部人文社会科学研究青年基金项目(15YJCZH129);江苏省青蓝工程项目;江苏省大数据分析技术重点实验室开放基金项目(KXK1402);江苏理工学院校级大学生创新项目(KYX15017).
作者简介:钱进,男,1975年生,副教授,博士,主要研究方向为粗糙集、粒计算、云计算、大数据等。发表学术论文40余篇,其中被SCI、EI检索20余篇;朱亚炎,男,1994年生,主要研究方向为粗糙集、云计算等。
通讯作者:钱进.E-mail:qjqjlqyf@163.com.

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