[1] PAWLAK Z. Rough sets[J]. International Journal of Computer and Information Sciences, 1982, 11(5):341-356. [2] 王国胤,姚一豫,于洪.粗糙集理论与应用研究综述[J].计算机学报,2009,32(7):1229-1246.(WANG G Y, YAO Y Y, YU H. A survey on rough set theory and applications[J]. Chinese Journal of Computers, 2009, 32(7):1229-1246.) [3] MIAO D, ZHAO Y, YAO Y, et al. Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model[J]. Information Sciences, 2009, 179(24):4140-4150. [4] LI H, LI D, ZHAI Y, et al. A novel attribute reduction approach for multi-label data based on rough set theory[J]. Information Sciences, 2016, 367/368:827-847. [5] YAO Y, ZHAO Y. Attribute reduction in decision-theoretic rough set models[J]. Information Sciences, 2008, 178(17):3356-3373. [6] JIA X, SHANG L, ZHOU B, et al. Generalized attribute reduct in rough set theory[J]. Knowledge-Based Systems, 2016, 91(6):204-218. [7] 张楠,苗夺谦,岳晓冬.区间值信息系统的知识约简[J].计算机研究与发展,2010,47(8):1362-1371.(ZHANG N, MIAO D Q, YUE X D. Approaches to knowledge reduction in interval-valued information systems[J]. Journal of Computer Research and Development, 2010, 47(8):1362-1371.) [8] HU Q, ZHAO H, XIE Z, et al. Consistency based attribute reduction[C]//Proceedings of the 2007 Pacific-Asia Conference on Knowledge Discovery and Data Mining, LNCS 4426. Berlin:Springer, 2007:96-107. [9] GUAN Y Y, WANG H K. Set-valued information systems[J]. Information Sciences. 2006, 176(17):2507-25-25. [10] SKOWRON A, RAUSZER C. The discernibility matrices and functions in information systems[M]//SŁOWINSKI R. Intelligent Decision Support:Handbook of Applications and Advances to Rough Sets Theory. Dordrecht:Kluwer Academic Publishers, 1992:331-362. [11] 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.(XU Z Y, LIU Z P, YANG B R, et al. A quick attribute reduction algorithm with complexity of max(O(|C||U|), O(|C|2|U/C|))[J]. Chinese Journal of Computers, 2006, 29(3):391-399.) [12] QIAN Y, LIANG J, PEDRYCZ W, et al. Positive approximation:an accelerator for attribute reduction in rough set theory[J]. Artificial Intelligence, 2010, 174(9/10):597-618. [13] LIANG J, MI J, WEI W, et al. An accelerator for attribute reduction based on perspective of objects and attributes[J]. Knowledge-Based Systems, 2013, 44:90-100. [14] 葛浩,李龙澍,杨传健.基于冲突域的高效属性约简算法[J].计算机学报,2012,35(2):342-350.(GE H, LI L S, YANG C J. An efficient attribute reduction algorithm based on conflict region[J]. Chinese Journal of Computers, 2012, 35(2):342-350.) [15] 王熙照,王婷婷,翟俊海.基于样例选取的属性约简算法[J].计算机研究与发展,2012,49(11):2305-2310.(WANG X Z, WANG T T, ZHAI J H. An attribute reduction algorithm based on instance selection[J]. Journal of Computer Research and Development, 2012, 49(11):2305-2310.) [16] 杨习贝,颜旭,徐苏平,等.基于样本选择的启发式属性约简方法研究[J].计算机科学,2016,43(1):40-43.(YANG X B, YAN X, XU S P, et al. New heuristic attribute reduction algorithm based on sample selection[J]. Computer Science, 2016, 43(1):40-43.) [17] CHEN H, LI T, RUAN D, et al. A rough-set-based incremental approach for updating approximations under dynamic maintenance environments[J]. IEEE Transactions on Knowledge and Data Engineering, 2013, 25(2):274-284. [18] CHEN H, LI T R, LUO C, et al. A rough set-based method for updating decision rules on attribute values' coarsening and refining[J]. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(12):2886-2899. [19] TENG S, LU M, YANG A, et al. Efficient attribute reduction from the viewpoint of discernibility[J]. Information Sciences, 2016, 326:297-314. [20] SHU W, QIAN W. A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems[J]. Knowledge-Based Systems, 2014, 72:60-71. [21] RAZA M S, QAMAR U. Feature selection using rough set-based direct dependency calculation by avoiding the positive region[J]. International Journal of Approximate Reasoning, 2018, 92:175-197. [22] 苗夺谦,李道国.粗糙集理论、算法与应用[M].北京:清华大学出版社,2008:87-214.(MIAO D Q, LI D G. Rough Sets Theory Algorithms and Applications[M]. Beijing:Tsinghua University Press, 2008:87-214.) [23] JING Y G, LI T, HUANG J, et al. A group incremental reduction algorithm with varying data values[J]. International Journal of Intelligent Systems, 2017, 32(9):900-925. [24] JING Y, LI T, FUJITA H, et al. An incremental attribute reduction method for dynamic data mining[J]. Information Sciences, 2018, 465:202-218. [25] 高学义.多目标属性约简研究[D].烟台:烟台大学,2018:16-30.(GAO X Y. Researches on multi-objective attribute reduction[D].Yantai:Yantai University, 2018:16-30.) |