Pawlak Z. Rough Sets. International Journal of Computer and Information Sciences, 1982, 11(5): 341-356
[2]
Miao D Q, Wang J. On the Relationships between Information Entropy and Roughness of Knowledge in Rough Set Theory. Pattern Recognition and Artificial Intelligence, 1998, 11(1): 34-40 (in Chinese)(苗夺谦,王 珏.粗糙集理论中知识粗糙性与信息熵关系的讨论.模式识别与人工智能, 1998, 11(1): 34-40)
[3]
Qian Y H, Liang J Y, Pedrycz W, et al. Positive Approximation: An Accelerator for Attribute Reduction in Rough Set Theory. Artificial Intelligence, 2010, 174(9/10): 597-618
[4]
Li J J. Topological Methods on the Theory of Covering Generalized Rough Sets. Pattern Recognition and Artificial Intelligence, 2004, 17(1): 7-10 (in Chinese)(李进金.覆盖广义粗集理论中的拓扑学方法.模式识别与人工智能, 2004, 17(1): 7-10 )
[5]
Zhang W X, Qiu G F. Uncertain Decision Making Based on Rough Sets. Beijing, China: Tsinghua University Press, 2005 (in Chinese)(张文修,仇国芳.基于粗糙集的不确定决策.北京:清华大学出版社, 2005)
[6]
Ziarko W. Variable Precision Rough Set Model. Journal of Computer and System Sciences, 1993, 46(1): 39-59
[7]
Liu R X, Sun S B, Qin K Y. On Variable Precision Covering Rough Set. Computer Engineering and Applications, 2008, 44(12): 47-50 (in Chinese)(刘瑞新,孙士保,秦克云.变精度覆盖粗糙集.计算机工程与应用, 2008, 44(12): 47-50)
[8]
Zhang X Y, Mo Z W , Xiong F, et al. Comparative Study of Vari-able Precision Rough Set Model and Graded Rough Set Model. International Journal of Approximate Reasoning, 2012, 53(l): 104-116
[9]
Yu Y, Miao D Q, Liu C H, et al. An Improved KNN Algorithm Based on Variable Precision Rough Sets. Pattern Recognition and Artificial Intelligence, 2012, 25(4): 617-623 (in Chinese)(余 鹰,苗夺谦,刘财辉,等.基于变精度粗糙集的KNN分类改进算法.模式识别与人工智能, 2012, 25(4): 617-623)
[10]
Novo M. Dependence Spaces of Information Systems // Orlowska E S, ed. Incomplete Information: Rough Set Analysis. Berlin, Germany: Springer, 1998: 193-246
[11]
Leung Y, Ma J M, Zhang W X, et al. Dependence-Space-Based Attribute Reductions in Inconsistent Decision Information Systems. International Journal of Approximate Reasoning, 2008, 49(3): 623-630
[12]
Chen H, Yang J A, Zhuang Z Q. The Core of Attributes and Minimal Attributes Reduction in Variable Precision Rough Set. Chinese Journal of Computers, 2012, 35(5): 1011-1017 (in Chinese)(陈 昊,杨俊安,庄镇泉.变精度粗糙集的属性核和最小属性约简算法.计算机学报, 2012, 35(5): 1011-1017)
[13]
Mi J S, Wu W Z, Zhang W X. Approaches to Knowledge Reduction Based on Variable Precision Rough Set Model. Information Sciences, 2004, 159(3/4): 255-272
[14]
Yuan X J, Zhang W X. The Relationships between Attribute Reduction Based on Variable Precision Rough Set Model and Attribute Reduction in Consistent Decision Tables. Pattern Recognition and Artificial Intelligence, 2004, 17(2): 196-200 (in Chinese)(袁修久,张文修.变精度粗集下约简和一致决策表约简的关系.模式识别与人工智能, 2004, 17(2): 196-200)
[15]
Feng L, Li T R, Yu Z Q. Attributes Reduction Based on the Variable Precision Rough Set in Decision Tables Containing Conti-nuous-Valued Attributes. Computer Science, 2010, 37(9): 205-208 (in Chinese)(冯 林,李天瑞,余志强.连续值属性决策表中的可变精度粗糙集模型及属性约简.计算机科学, 2010, 37(9): 205-208 )
[16]
Zhang W X, Liang Y, Wu W Z. Information Systems and Know-ledge Discovery. Beijing, China: Science Press, 2003 (in Chinese)(张文修,梁 怡,吴伟志.信息系统与知识发现.北京:科学出版社, 2003)