[1] PAWLAK Z. Rough Sets: Theoretical Aspect of Reasoning about Data. Dordrecht, The Netherlands: Kluwer Academic Publishers, 1991.
[2] PAWLAK Z. Vagueness and Uncertainty: A Rough Set Perspective. Computational Intelligence, 1995, 11(2): 227-232.
[3] PAWLAK Z, SKOWRON A. Rudiments of Rough Sets. Information Sciences, 2007, 177(1): 3-27.
[4] CHAKRABARTY K, BISWAS R, NANDA S. Fuzziness in Rough Sets. Fuzzy Sets and Systems, 2000, 110(2): 247-251.
[5] BANERJEE M, PAL S K. Roughness of a Fuzzy Set. Information Sciences, 1996, 93(3/4): 235-246.
[6] HUYNH V H, NAKAMORI Y. A Roughness Measure for Fuzzy Sets. Information Sciences, 2005, 73(1/2/3): 255-275.
[7] 王国胤,于 洪,杨大春.基于条件信息熵的决策表约简.计算机学报, 2002, 25(7): 759-766.
(WANG G Y, YU H, YANG D C. Decision Table Reduction Based on Conditional Information Entropy. Chinese Journal of Computers, 2002, 25(7): 759-766.)
[8] WANG G Y, ZHAO J, AN J J, et al. A Comparative Study of Algebra Viewpoint and Information Viewpoint in Attribute Reduction. Fundamenta Informaticae, 2005, 68(3): 289-301.
[9] ZHAO J, WANG G Y. Research on System Uncertainty Measures Based on Rough Set Theory // Proc of the 1st International Conference on Rough Sets and Knowledge Technology. Berlin, Germany: Springer, 2006: 227-232.
[10] LIANG J Y, CHIN K S, DANG C Y, et al. A New Method for Measuring Uncertainty and Fuzziness in Rough Set Theory. International Journal of General Systems, 2002, 31(4): 331-342.
[11] 梁吉业,李德玉.信息系统中的不确定性与知识获取.北京:科学出版社, 2005.
(LIANG J Y, LI D Y. Uncertainty and Knowledge Acquisition in Information Systems. Beijing, China: Science Press, 2005.)
[12] LIANG J Y, SHI Z Z. The Information Entropy, Rough Entropy and Knowledge Granulation in Rough Set Theory. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, 12(1): 37-46.
[13] 苗夺谦,范世栋.知识的粒度计算及其应用.系统工程理论与实践, 2002, 22(1): 48-56.
(MIAO D Q, FAN S D. The Calculation of Knowledge Granulation and Its Application. Systems Engineering-Theory & Practice, 2002, 22(1): 48-56.)
[14] 苗夺谦,王 珏.粗糙集理论中概念与运算的信息表示.软件学报, 1999, 10(2): 113-116.
(MIAO D Q, WANG J. An Information Representation of the Concepts and Operations in Rough Set Theory. Journal of Software, 1999, 10(2): 113-116.)
[15] DENG D Y, HUANG H K. Vagueness and Uncertainty: An F-Rough Set Perspective // WANG G Y, SKOWRON A, YAO Y Y, et al., eds. Thriving Rough Sets. Berlin, Germany: Springer, 2017: 311-327.
[16] 邓大勇, 卢克文,苗夺谦,等. 知识系统中全粒度粗糙集及概念
漂移的研究[J/OL]. [2016-11-29]. http://www.cnki.net/kcms/detail/11.1826.TP.20161129.1246.004.html.
(DENG D Y, LU K W, MIAO D Q, et al. Study on Entire-Granulation Rough Sets and Concept Drifting in a Knowledge System[J/OL]. [2016-11-29]. http://www.cnki.net/kcms/detail/11.1826.TP.20161129.1246.004.html.)
[17] QIAN Y H, LIANG J Y, YAO Y Y, et al. MGRS: A Multi-granulation Rough Set. Information Sciences, 2010, 180(6): 949-970.
[18] 张 明,唐振民,徐维艳,等.可变多粒度粗糙集模型.模式识别与人工智能, 2012, 25(4): 709-720.
(ZHANG M, TANG Z M, XU W Y, et al. Variable Multigranulation Rough Set Model. Pattern Recognition and Artificial Intelligence, 2012, 25(4): 709-720.)
[19] 邓大勇.全粒度粗糙集属性约简.模式识别与人工智能, 2018, 31(3): 230-235.
(DENG D Y. Attribute Reduction for Entire-Granulation Rough Sets. Pattern Recognition and Artificial Intelligence, 2018, 31(3): 230-235.)
[20] 邓大勇,薛欢欢,苗夺谦,等.属性约简准则与约简信息损失的研究.电子学报, 2017, 45(2): 401-407.
(DENG D Y, XUE H H, MIAO D Q, et al. Study on Criteria of Attribute Reduction and Information Loss of Attribute Reduction. Acta Electronica Sinica, 2017, 45(2): 401-407.) |