Survey on Attribute Reduction Algorithm of Rough Set

被引：0
|
作者：
Zhou T. [1 ,4 ]
Lu H.-L. [2 ]
Ren H.-L. [3 ]
Huo B.-Q. [1 ]
机构：
[1] School of Computer Science and Engineering, North Minzu University, Yinchuan
[2] School of Science, Ningxia Medical University, Yinchuan
[3] The First People's Hospital of Yinchuan City, Yinchuan
[4] Key Laboratory of Images & Graphics Intelligent Processing of State Ethnic Affairs Commission, North Minzu University, Yinchuan
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 07期
关键词：
Attribute reduction; Dynamic decision; Incompatible decision; Incomplete decision; Rough set;
D O I：
10.12263/DZXB.20200330
中图分类号：
学科分类号：
摘要：
Attribute reduction is an important research direction in rough set. This paper summarizes attribute reduction algorithms based on rough sets from eight aspects, including incomplete decision information tables, incompatible decision information tables, continuous attribute decision information tables, dynamic decision information table, ordered data decision information table, attribute reduction algorithm based on rough extension model, attribute reduction algorithm based on attribute importance degree and attribute reduction algorithm based on intelligent optimization algorithm. Through summarizing eight aspects of attribute reduction algorithms based on rough set, positive significance is shown for further research on attribute reduction algorithm of rough set. © 2021, Chinese Institute of Electronics. All right reserved.
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页码：1439 / 1449
页数：10
相关论文
共 78 条
  • [51] WANG Guoyin, Calculation methods for core attributes of decision table, Chinese Journal of Computers, 26, 5, pp. 611-615, (2003)
  • [52] HU Qinghua, ZHAO Hui, YU Daren, Efficient symbolic and numerical attribute reduction with neighborhood rough sets, Pattern Recognition & Artificial Intelligence, 21, 6, pp. 732-738, (2008)
  • [53] LI Hao, Neighborhood Rough Set in Discrete Space, (2017)
  • [54] ZHAI Junhai, ZHANG Yao, WANG Xizhao, Tolerance rough fuzzy set model, Journal of Shandong University(Natural Science), 49, 8, pp. 73-79, (2014)
  • [55] XU Ming, ZHENG Lubin, XIE Yanqi, Et al., Gene selection algorithm based on neighborhood entropy and ant colony optimization, Journal of Fuzhou University(Natural Science Edition), 45, 6, pp. 815-821, (2017)
  • [56] ZHANG Feifei, ZHOU Tao, LU Huiling, Et al., A computer aided diagnosis model for multimodality lung tumor based on ensemble VPRS RUGGA support vector machine, Journal of Biomedical Engineering Research, 38, 1, pp. 48-53, (2019)
  • [57] WANG Shiqiang, ZHANG Dengfu, BI Duyan, Attribute reduction method based on fuzzy rough sets and artificial bee colony algorithm, Journal of Central South University (Science and Technology), 44, 1, pp. 172-178, (2013)
  • [58] JING Yunge, JING Luoxi, WANG Baoli, An incremental attribute reduction approach when attribute values and attributes of the decision system change dynamically, Journal of Shandong University (Natural Science), 55, 1, pp. 62-68, (2020)
  • [59] GOU Guanglei, WANG Guoyin, Approaches to attribute reduction in confidential dominance relation based rough set, Journal of Chinese Computer Systems, 39, pp. 357-361, (2018)
  • [60] ZHANG Feifei, ZHOU Tao, LU Huiling, An algorithm for high dimension feature selection of lung tumor CT image based on Bayesian rough set, Journal of Biomedical Engineering Research, 37, 4, pp. 404-409, (2018)
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