1 |
张清华, 吕功勋, 陈玉洪, 谢秦. 基于字符型属性值更新的动态三支决策模型[J]. 电子学报, 2019, 47(2): 344⁃350.
|
|
ZHANGQ H, LÜG X, CHENY H, XIEQ. A dynamic three-way decision model based on the updating of character attribute values[J]. Acta Electronica Sinica, 2019, 47(2): 344⁃350. (in Chinese)
|
2 |
张清华, 薛玉斌, 胡峰, 于洪. 粗糙集近似集的不确定性研究[J]. 电子学报, 2016, 44(7): 1574⁃1580.
|
|
ZHANGQ H, XUEY B, HUF, YUH. Research on uncertainty of approximation set of rough set[J]. Acta Electronica Sinica, 2016, 44(7): 1574⁃1580. (in Chinese)
|
3 |
YAOY Y. Three-way decisions with probabilistic rough sets[J]. Information Sciences, 2010, 180(3): 341⁃353.
|
4 |
YAOY Y. Three-way decision: an interpretation of rules in rough set theory[C]//Proceedings of the International Conference on Rough Sets and Knowledge Technology. Berlin, Heidelberg, Germany: Springer, 2009. 642⁃649.
|
5 |
YAOY Y, DENGX F. Sequential three-way decisions with probabilistic rough sets[C]//Proceedings of the IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing. Banff, AB, Canada: IEEE, 2011: 120⁃125.
|
6 |
YAOY Y. Granular computing and sequential three-way decisions[C]//Proceedings of the International Conference on Rough Sets and Knowledge Technology. Berlin, Heidelberg, Germany: Springer, 2013. 16⁃27.
|
7 |
YANGX, LIT R, LIUD, FUJITAH. A multilevel neighborhood sequential decision approach of three-way granular computing[J]. Information Sciences, 2020, 538: 119⁃141.
|
8 |
WANGM W, LIANGD C, XUZ S. Sequential three-way multiple attribute group decisions with individual attributes and its consensus achievement based on social influence[J]. Information Sciences, 2020, 518: 286⁃308.
|
9 |
SAVCHENKOA V. Fast inference in convolutional neural networks based on sequential three-way decisions[J]. Information Sciences, 2021, 560: 370⁃385.
|
10 |
HAOC, LIJ H, MINF, LIUW Q, TSANGE C C. Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions[J]. Information Sciences, 2017, 415⁃416: 213⁃232.
|
11 |
ZHANGH R, MINF, SHIB. Regression-based three-way recommendation[J]. Information Sciences, 2017, 378: 444⁃461.
|
12 |
YANGX, LIUD, YANGX B, LIUK Y, LIT R. Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations[J]. Information Sciences, 2021, 550: 71⁃90.
|
13 |
李金海, 王飞, 吴伟志, 徐伟华, 杨习贝, 折延宏. 基于粒计算的多粒度数据分析方法综述[J]. 数据采集与处理, 2021, 36(3): 418⁃435.
|
|
LIJ H, WANGF, WUW Z, XUW H, YANGX B, SHEY H. Review of multi‑granularity data analysis methods based on granular computing[J]. Journal of Data Acquisition and Processing, 2021, 36(3): 418⁃435. (in Chinese)
|
14 |
YANGX, LIT R, FUJITAH, LIUD, YAOY Y. A unified model of sequential three-way decisions and multilevel incremental processing[J]. Knowledge-Based Systems, 2017, 134: 172⁃188.
|
15 |
YANGB, LIJ H. Complex network analysis of three-way decision researches[J]. International Journal of Machine Learning and Cybernetics, 2020, 11(5): 973⁃987.
|
16 |
ZHANGQ H, XIAD Y, WANGG Y. Three-way decision model with two types of classification errors[J]. Information Sciences, 2017, 420: 431⁃453.
|
17 |
ZHANGQ H, PANGG H, WANGG Y. A novel sequential three-way decisions model based on penalty function[J]. Knowledge-Based Systems, 2020, 192: 105350.
|
18 |
ZHANGQ H, HUANGZ K, WANGG Y. A novel sequential three-way decision model with autonomous error correction[J]. Knowledge-Based Systems, 2021, 212: 106526.
|
19 |
PAWLAKZ. Rough sets[J]. International Journal of Computer and Information Sciences, 1982, 11(5): 341⁃356.
|
20 |
PAWLAKZ, SKOWRONA. Rough membership functions: a tool for reasoning with uncertainty[J]. Banach Center Publications, 1993, 28: 135⁃150.
|
21 |
QUINLANJ R. Induction of decision trees[J]. Machine Learning, 1986, 1(1): 81⁃106.
|
22 |
周志华. 机器学习[M]. 北京: 清华大学出版社, 2016: 73⁃95.
|
|
ZHOUZ H. Machine Learning[M]. Beijing: Tsinghua University Press, 2016: 73⁃95. (in Chinese)
|
23 |
LEYTON-BROWNK, SHOHAMY. Essentials of game theory: A concise multidisciplinary introduction[J]. Synthesis Lectures on Artificial Intelligence and Machine Learning, 2008, 2(1): 1⁃88.
|
24 |
LIANGJ Y, CHINK S, DANGC Y, YAMR C M. A new method for measuring uncertainty and fuzziness in rough set theory[J]. International Journal of General Systems, 2002, 31(4): 331⁃342.
|
25 |
NIELSENM A. Neural Networks and Deep Learning[M]. San Francisco, USA: Determination Press, 2015: 67⁃85.
|