PAWLAK Z. Rough Sets[J]. International Journal of Computer and Information Sciences, 1982, 11(5): 341-356. doi: 10.1007/BF01001956
PAWLAK Z. Rough Sets: Theoretical Aspects of Reasoning about Data[M]. Boston, USA: Kluwer Academic Publishers, 1991.
WU W Z, LEUNG Y. Theory and Applications of Granular Labelled Partitions in Multi-scale Decision Tables[J]. Information Sciences, 2011, 181(18): 3878-3897. doi: 10.1016/j.ins.2011.04.047
LI F, HU B Q. A New Approach of Optimal Scale Selection to Multi-Scale Decision Tables[J]. Information Sciences, 2017, 381: 193-208. doi: 10.1016/j.ins.2016.11.016
WU W Z, LEUNG Y. Optimal Scale Selection for Multi-Scale Decision Tables[J]. International Journal of Approximate Reasoning, 2013, 54(8): 1107-1129. doi: 10.1016/j.ijar.2013.03.017
WU W Z, LEUNG Y. A Comparison Study of Optimal Scale Combination Selection in Generalized Multi-Scale Decision Tables[J]. International Journal of Machine Learning and Cybernetics, 2020, 11(5): 961-972. doi: 10.1007/s13042-019-00954-1
GU S M, WU W Z. On Knowledge Acquisition in Multi-Scale Decision Systems[J]. International Journal of Machine Learning and Cybernetics, 2013, 4(5): 477-486. doi: 10.1007/s13042-012-0115-7
BAO H, WU W Z, ZHENG J W, et al. Entropy Based Optimal Scale Combination Selection for Generalized Multi-Scale Information Tables[J]. International Journal of Machine Learning and Cybernetics, 2021, 12(5): 1427-1437. doi: 10.1007/s13042-020-01243-y
HUANG B, LI H X, FENG G F, et al. Dominance-Based Rough Sets in Multi-Scale Intuitionistic Fuzzy Decision Tables[J]. Applied Mathematics and Computation, 2019, 348: 487-512. doi: 10.1016/j.amc.2018.12.018
SHE Y H, LI J H, YANG H L. A Local Approach to Rule Induction in Multi-Scale Decision Tables[J]. Knowledge-Based Systems, 2015, 89: 398-410. doi: 10.1016/j.knosys.2015.07.020
CHENG Y L, ZHANG Q H, WANG G Y, et al. Optimal Scale Selection and Attribute Reduction in Multi-Scale Decision Tables Based on Three-Way Decision[J]. Information Sciences, 2020, 541: 36-59. doi: 10.1016/j.ins.2020.05.109
LI F, HU B Q, WANG J. Stepwise Optimal Scale Selection for Multi-Scale Decision Tables Via Attribute Significance[J]. Knowledge-Based Systems, 2017, 129: 4-16. doi: 10.1016/j.knosys.2017.04.005
HAO C, LI J H, MIN F, et al. Optimal Scale Selection in Dynamic Multi-Scale Decision Tables Based on Sequential Three-Way Decisions[J]. Information Sciences, 2017, 415: 213-232.
HUANG Z H, LI J J, DAI W Z, et al. Generalized Multi-Scale Decision Tables with Multi-Scale Decision Attributes[J]. International Journal of Approximate Reasoning, 2019, 115: 194-208. doi: 10.1016/j.ijar.2019.09.010
DAI J H, WANG W T, MI J S. Uncertainty Measurement for Interval-Valued Information Systems[J]. Information Sciences, 2013, 251(4): 63-78.
DAI J H, HU H, ZHENG G J, et al. Attribute Reduction in Interval-Valued Information Systems Based on Information Entropies[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(9): 919-928.
HUANG B, ZHUANG Y L, LI H X. Information Granulation and Uncertainty Measures in Interval-Valued Intuitionistic Fuzzy Information Systems[J]. European Journal of Operational Research, 2013, 231(1): 162-170. doi: 10.1016/j.ejor.2013.05.006
HUANG B, WEI D K, LI H X, et al. Using a Rough Set Model to Extract Rules in Dominance-Based Interval-Valued Intuitionistic Fuzzy Information Systems[J]. Information Sciences, 2013, 221: 215-229. doi: 10.1016/j.ins.2012.09.010
ZHANG H Y, ZHANG W X, WU W Z. On Characterization of Generalized Interval-Valued Fuzzy Rough Sets on Two Universes of Discourse[J]. International Journal of Approximate Reasoning, 2009, 51(1): 56-70. doi: 10.1016/j.ijar.2009.07.002
HU B Q. Generalized Interval-Valued Fuzzy Variable Precision Rough Sets Determined By Fuzzy Logical Operators[J]. International Journal of General Systems, 2015, 44(7-8): 849-875. doi: 10.1080/03081079.2015.1028540
XIE B, LI L J, MI J S. A Novel Approach for Ranking in Interval-Valued Information Systems[J]. Journal of Intelligent & Fuzzy Systems, 2016, 30(1): 523-534.
LIN B Y, XU W H. Multi-Granulation Rough Set for Incomplete Interval-Valued Decision Information Systems Based on Multi-Threshold Tolerance Relation[J]. Symmetry-Basel, 2018, 10(6): 208. doi: 10.3390/sym10060208
ZHANG C, LI D Y, LIANG J Y. Interval-Valued Hesitant Fuzzy Multi-Granularity Three-Way Decisions in Consensus Processes with Applications to Multi-Attribute Group Decision Making[J]. Information Sciences, 2020, 511: 192-211. doi: 10.1016/j.ins.2019.09.037
GU S M, WAN Y H, WU W Z, et al. Rough Set Approximations in Multi-Scale Interval Information Systems[C] //Proc of the 2015 RSFDGrC on Springer-Verlag Berlin. Jeju Island: 2015: 73-81.
吴伟志, 杨玉芳. 空间遥感数据的多粒度标记分类[J]. 计算机科学, 2012, 39(4): 23-27.
周志华. 机器学习[M]. 北京: 清华大学出版社, 2016: 30-47.