[1]刘财辉,蔡克参.元素最小描述并集下的多粒度覆盖粗糙集模型[J].智能系统学报,2016,11(4):534-538.[doi:10.11992/tis.201605034]
 LIU Caihui,CAI Kecan.Multigranulation covering rough sets based on the union of minimal descriptions of elements[J].CAAI Transactions on Intelligent Systems,2016,11(4):534-538.[doi:10.11992/tis.201605034]
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元素最小描述并集下的多粒度覆盖粗糙集模型

参考文献/References:
[1] QIAN Yuhau, LIANG Jiye, YAO Yiyu, et al. MGRS:a multi-granulation rough set[J]. Information sciences, 2010, 180(6):949-970.
[2] QIAN Yuhua, ZHANG Hu, SANG Yanli, et al. Multigranulation decision-theoretic rough sets[J]. International journal of approximate reasoning, 2014, 55(1):225-237.
[3] QIAN Yuhua, LI Shunyong, LIANG Jiye, et al. Pessimistic rough set based decisions:a multigranulation fusion strategy[J]. Information sciences, 2014, 264:196-210.
[4] LI Jinhai, REN Yue, MEI Changlin, et al. A comparative study of multigranulation rough sets and concept lattices via rule acquisition[J]. Knowledge-based systems, 2016, 91:152-164.
[5] YANG Xibei, QI Yunsong, SONG Xiaoning, et al. Test cost sensitive multigranulation rough set:model and minimal cost selection[J]. Information sciences, 2013, 250:184-199.
[6] XU Weihua, GUO Yanting. Generalized multigranulation double-quantitative decision-theoretic rough set[J]. Knowledge-based systems, 2016, 105:190-205.
[7] SHE Yanhong, HE Xiaoli. On the structure of the multigranulation rough set model[J]. Knowledge-based systems, 2012, 36:81-92.
[8] HUANG Bing, GUO Chunxiang, ZHUANG Yuliang, et al. Intuitionistic fuzzy multigranulation rough sets[J]. Information sciences, 2014, 277:299-320.
[9] LIN Guoping, LIANG Jiye, QIAN Yuhua, et al. A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems[J]. Knowledge-based systems, 2016, 91:102-113.
[10] LIU Caihui, MIAO Duoqian, QIAN Jin. On multi-granulation covering rough sets[J]. International journal of approximate reasoning, 2014, 55(6):1404-1418.
[11] 别林斯里. 概率与测度[M]. 3版. 北京:世界图书出版公司, 2007.
[12] ZHU W, WANG Feiyue. Reduction and axiomization of covering generalized rough sets[J]. Information sciences, 2003, 152:217-230.
[13] YAO Yiyu. Three-way decisions with probabilistic rough sets[J]. Information sciences, 2010, 180(3):341-353.
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备注/Memo

收稿日期:2016-05-31。
基金项目:国家自然科学基金项目(61305052,61403329,61663002).
作者简介:刘财辉,男,1979年生,副教授,主要研究方向为粗糙集、粒计算、机器学习、数据挖掘。发表学术论文20余篇,其中被SCI检索4篇,EI检索12篇;蔡克参,女,1992年生,硕士研究生,主要研究方向为粒计算方法在农业信息化中的应用。
通讯作者:刘财辉.E-mail:liu_caihui@163.com.

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