JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2021, Vol. 56 ›› Issue (3): 96-110.doi: 10.6040/j.issn.1671-9352.4.2020.261
ZHANG Jiao-jiao1, ZHANG Shao-pu1*, FENG Tao2
CLC Number:
[1] PAWLAK Z, Rough set[J]. International Journal of Computer and Information Sciences. 1982, 11(5):341-356. [2] PAWLAK Z, Rough sets[M]. Dordrecht: Kluwer Academic Publishers, 1992: 10-30. [3] PAWLAK Z, SKOWRON A. Rough sets and Boolean reasoning[J]. Information Sciences, 2007, 177(1):41-73. [4] PAWLAK Z, SKOWRON A. Rudiments of rough sets[J]. Information Sciences, 2007, 177(1):3-27. [5] PAWLAK Z. Rough set theory and its applications to data analysis[J]. Cybernetics and Systems, 1998, 29(7):661-688. [6] DÜNTSCH I, GEDIGA G. Rough set data analysis: a road to non-invasive knowledge discovery[M]. Bangor: Methodos Publisher, 2000: 33-73. [7] LIANG J Y, CHIN K S, DANG C Y, et al. A new method for measuring uncertainty and fuzziness in rough set theory[J]. International Journal of General Systems, 2002, 31(4):331-342. [8] LIANG J Y, SHI Z Z.The information entropy, rough entropy and knowledge granulation in rough set theory[J]. International Journal of Uncertainty Fuzziness & Knowledge Based Systems, 2004, 12(1):37-46. [9] ZHANG Xiao, MEI Changlin, CHEN Degang, et al. Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy[J]. Pattern Recognit, 2016, 56(1):1-15. [10] DAI Jianhua, HU Hu, WU Weizhi, et al. Maximal discernibility pairs based approach to attribute reduction in fuzzy rough sets[J]. IEEE Transactions on Fuzzy Systems, 2017, 26(4):2174-2187. [11] DAI Jianhua, CHEN Jiaolong. Feature selection via normative fuzzy information weight with application into tumor classification[J]. Applied Soft Computing, 2020, 92:1-14. [12] GU Shenming, WU Weizhi, ZHENG Yun. Rule acquisition in consistent multi-scale decision systems[C] //Eighth International Conference on Fuzzy Systems & Knowledge Discovery. Shanghai: IEEE, 2011: 390-393. [13] GU Shenming, WU Weizhi. Knowledge acquisition in consistent multi-scale decision systems[C] //International Conference on Rough Sets and Knowledge Technology. Berlin: Springer, 2011: 669-678. [14] GU Shenming, WU Weizhi. On knowledge acquisition in multi-scale decision systems[J]. International Journal of Machine Learning & Cybernetics, 2013, 4(5):477-486. [15] DUBOIS D, PRADE H. Rough fuzzy sets and fuzzy rough sets[J]. International Journal of General System, 2007, 17(2/3):191-209. [16] ATANASSOV K. Intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1986, 20(1):87-96. [17] YAGER R R. Pythagorean membership grades in multi-criteria decision making[J]. IEEE Transactions on Fuzzy Systems, 2014, 22(4):958-965. [18] YAO Yiyu, YAN Zhao. Discernibility matrix simplification for constructing attribute reducts[J]. Information Sciences, 2009, 179(7):867-882. [19] YIN Yunfei, GONG Guanghong, HAN Liang. Control approach to rough set reduction[J]. Computers and Mathematics with Applications, 2009, 57(1):117-126. [20] FAN T F, LIAU C J, LIU D R. A relational perspective of attribute reduction in rough set-based data analysis[J]. European Journal of Operational Research, 2011, 213(1):270-278. [21] HE Qiang, WU Congxin, CHEN Degang, et al. Fuzzy rough set based attribute reduction for information systems with fuzzy decisions[J]. Knowledge-Based Systems, 2011, 24(5):689-696. [22] ZHAO Z, MORSTATTER F, SHARMA S, et al. Advancing feature selection research[EB/OL].(2010-01)[2019-03-20]. https://www.researchgate.net/publication/305083748_Advancing_feature_selection_research. [23] JIA Xiuyi, LIAO Wenhe, TANG Zhenmin, et al. Minimum cost attribute reduction in decision-theoretic rough set models[J]. Information Sciences, 2013, 219(1):151-167. [24] WANG Guoyin, ZHAO Jun, AN Jiujiang, et al. Theoretical study on attribute reduction of rough set theory: comparison of algebra and information views[C] //Proceedings of the IEEE International Conference on Cognitive Informatics. Victoria: IEEE, 2004: 148-155. [25] 邓大勇, 李亚楠, 薛欢欢. 基于粗糙集的可变正区域约简[J]. 浙江师范大学学报(自然科学版), 2016, 39(3):294-297. DENG Dayong, LI Yanan, XUE Huanhuan. Attribute reduction of various positive region based on rough sets[J]. Journal of Zhejiang Normal University(Natural Science), 2016, 39(3):294-297. [26] SKOWRON A, RAUSZER C. The discernibility matrices and functions in information systems[M] //SLOWINSKI R. Intelligent Decision Support. Dordrecht: Springer, 1992: 331-362. [27] FELIX R, USHIO T. Rough sets-based machine learning using a binary discernibility matrix[C] //International Conference on Intelligent Processing & Manufacturing of Materials. Honolulu: IEEE, 1999. [28] YAGER R R. Pythagorean membership grades in multicriteria decision making[J]. IEEE Transactions on Fuzzy Systems, 2014, 22(4):958-965. [29] ZHANG Xiaolong, XU Zeshui. Extension of TOPSIS to multiple criteria decision making with pythagorean fuzzy sets[J]. International Journal of Intelligent Systems, 2014, 29(12):3-10. [30] 张少谱, 孙品, 冯涛. Pythagorean模糊信息系统属性约简的图论方法[J]. 郑州大学学报(理学版), 2020, 52(1):79-86. ZHANG Shaopu, SUN Pin, FENG Tao.Graph theory method for attribute reduction of Pythagorean fuzzy information system[J]. Journal of Zhengzhou University(Science Edition), 2020, 52(1):79-86. |
[1] | HAN Shuang-zhi, ZHANG Nan, ZHANG Zhong-xi. Class-specific β distribution reduction in interval-valued decision systems [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2020, 55(11): 66-77. |
[2] | JING Yun-ge, JING Luo-xi, WANG Bao-li, CHENG Ni. An incremental attribute reduction approach when attribute values and attributes of the decision system change dynamically [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2020, 55(1): 62-68. |
[3] | WAN Qing, MA Ying-cang, WEI Ling. Knowledge acquisition of multi-source data based on multigranularity [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2020, 55(1): 41-50. |
[4] | ZHENG Li-ping, HU Min-jie, YANG Hong-he, LIN Yao-jin. Research on collaborative filtering algorithm based on rough set [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2019, 54(2): 41-50. |
[5] | ZHANG En-sheng. Composition and structure on attribute reduction of interval-set concept lattices [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2018, 53(8): 17-24. |
[6] | ZUO Zhi-cui, ZHANG Xian-yong, MO Zhi-wen, FENG Lin. Block discernibility matrix based on decision classification and its algorithm finding the core [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2018, 53(8): 25-33. |
[7] | LI Tong-jun, HUANG Jia-wen, WU Wei-zhi. Attribute reduction of incomplete contexts based on similarity relations [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2018, 53(8): 9-16. |
[8] | ZHANG Xiao, YANG Yan-yan. Algorithms of rule acquisition and confidence-preserved attribute reduction in covering decision systems [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2018, 53(12): 120-126. |
[9] | HU Qian, MI Ju-sheng, LI Lei-jun. The fuzzy belief structure and attribute reduction based on multi-granulation fuzzy rough operators [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2017, 52(7): 30-36. |
[10] | CHEN Xue, WEI Ling, QIAN Ting. Attribute reduction in formal decision contexts based on AE-concept lattices [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2017, 52(12): 95-103. |
[11] | HUANG Wei-ting, ZHAO Hong, ZHU William. Adaptive divide and conquer algorithm for cost-sensitive attribute reduction [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2016, 51(8): 98-104. |
[12] | ZHANG Ling-jun, XU Jiu-cheng, LI Shuang-qun, LI Xiao-yan. Numerical attribute reduction of mutex neighborhood covering rough set theory [J]. J4, 2012, 47(1): 77-82. |
[13] | FENG Lin1,2, LUO Feng3, FANG Dan3, YUAN Yong-le1. Approaches for attribute core and attribute reduction based on an improved extended positive region [J]. J4, 2012, 47(1): 72-76. |
[14] | DING Wei-ping1,2,3, WANG Jian-dong2, DUAN Wei-hua2, SHI Quan1. Research of cooperative PSO for attribute reduction optimization [J]. J4, 2011, 46(5): 97-102. |
[15] | YU Cheng-yi, LI Jin-jin*. β lower approximation attribute reduction in variable precision rough sets [J]. J4, 2011, 46(11): 17-21. |
|