This work is licensed under the Creative Commons Attribution 4.0 International License.
Pawlak Z, Rough sets. International Journal of Computer and Information Science, 1982, 11(5), pp. 341–356.PawlakZRough sets198211534135610.1007/BF01001956Search in Google Scholar
Bera, S., Roy, S.K. Fuzzy Rough Soft Set and Its Application to Lattice. Granular Computing, 2020, 5, pp. 217–223.BeraS.RoyS.K.Fuzzy Rough Soft Set and Its Application to Lattice2020521722310.1007/s41066-018-00148-0Search in Google Scholar
Sun, B., Ma, W., Chen, X. et al. Multigranulation Vague Rough Set over Two Universes and Its Application to Group Decision Making. Soft Computing, 2019, 23, pp. 8927–8956.SunB.MaW.ChenX.Multigranulation Vague Rough Set over Two Universes and Its Application to Group Decision Making2019238927895610.1007/s00500-018-3494-1Search in Google Scholar
Chelly Dagdia, Z., Zarges, C., Beck, G. et al. A Scalable and Effective Rough Set Theory-based Approach for Big Data Pre-processing. Knowledge and Information Systems,2020, 62, pp. 3321–3386.Chelly DagdiaZ.ZargesC.BeckG.A Scalable and Effective Rough Set Theory-based Approach for Big Data Pre-processing2020623321338610.1007/s10115-020-01467-ySearch in Google Scholar
Wafo Soh, C., Njilla, L.L., Kwiat, K.K. et al. Learning Quasi-identifiers for Privacy-preserving Exchanges: a Rough Set Theory Approach. Granular Computing, 2020, 5, pp. 71–84.Wafo SohC.NjillaL.L.KwiatK.K.Learning Quasi-identifiers for Privacy-preserving Exchanges: a Rough Set Theory Approach20205718410.1007/s41066-018-0127-0Search in Google Scholar
Wong S K M, Ziarko W, Optimal decision rules in decision table. Bulletin of Polish Academy of Sciences, 1985, 33(11–12), pp. 693–696.WongS K MZiarkoWOptimal decision rules in decision table19853311–12693696Search in Google Scholar
Liu W J, Gu Y D, Feng Y B, et al., An improved attribute reduction algorithm of decision table. Pattern Recognition and Artificial Intelligence, 2004, 17(1), pp. 119–123.LiuW JGuY DFengY BAn improved attribute reduction algorithm of decision table2004171119123Search in Google Scholar
Du J L, Chi Z X, Zhai W, An improved algorithm for reduction of knowledge based on significance of attribution. Mini-Micro System, 2003, 24(6), pp. 976–978.DuJ LChiZ XZhaiWAn improved algorithm for reduction of knowledge based on significance of attribution2003246976978Search in Google Scholar
Li Hua, Research on the Model and Algorithms of Rough Set for Multi-label Data. Ph.D. thesis, Shanxi University, Taiyuan, China, 2017.LiHuaPh.D. thesis,Shanxi UniversityTaiyuan, China2017Search in Google Scholar
Hart P, The condensed nearest neighbor rule. IEEE Transaction on Information Theory, 1968, 14(5), pp. 515–516.HartPThe condensed nearest neighbor rule196814551551610.1109/TIT.1968.1054155Search in Google Scholar
Gates G W, The reduced nearest neighbor rule. IEEE Transactions on Information Theory, 1972, 18(3), pp. 431–433GatesG WThe reduced nearest neighbor rule197218343143310.1109/TIT.1972.1054809Search in Google Scholar
Brighton H, Mellish C, Advances in instance selection for instance-based learning algorithms. Data Mining and Knowledge Discovery, 2002, 6(2), pp. 153–172.BrightonHMellishCAdvances in instance selection for instance-based learning algorithms20026215317210.1023/A:1014043630878Search in Google Scholar
Wang Xizhao, Wang Tingting, Zhai Junhai, An Attribute Reduction Algorithm Based on Instance Selection. Journal of Computer Research and Development, 2012, 49(11), pp. 2305–2310.WangXizhaoWangTingtingZhaiJunhaiAn Attribute Reduction Algorithm Based on Instance Selection2012491123052310Search in Google Scholar
JI Su-Qin, SHI Hong-Bo, Lv Ya-Li, An Attribute Reduction Algorithm Based on Granular Computing and Discernibility. Pattern Recognition and Artificial Intelligence, 2015, 28(4), pp. 327–334.JISu-QinSHIHong-BoLvYa-LiAn Attribute Reduction Algorithm Based on Granular Computing and Discernibility2015284327334Search in Google Scholar
Yang Yanyan, Rough Set Based Mechanisms and Algorithms for Incremental Attribute Reduction. Ph.D. thesis, North China Electric Power University, Beijing, China, 2017.YangYanyanPh.D. thesis,North China Electric Power UniversityBeijing, China2017Search in Google Scholar
Pan Wei. Rough Sets Model with Entropy for Multi-criteria Ordernal Decision System. Ph.D. thesis, University of Electronic Science and Technology of China, Chengdu, China, 2017.PanWeiPh.D. thesis,University of Electronic Science and Technology of ChinaChengdu, China2017Search in Google Scholar
Jin ping, Zong Yu, Jiang He, et al., Muti-space FCM Algorithm. Computer Engineering and Applications, 2007, 43(28), pp. 162–165.JinpingZongYuJiangHeMuti-space FCM Algorithm20074328162165Search in Google Scholar
Zhang Wenxiu, Wu Weizhi, Liang Jiye, et al., Rough Set Theory and Method. Beijing: Science Press, 2001.ZhangWenxiuWuWeizhiLiangJiyeBeijingScience Press2001Search in Google Scholar