Research on Fuzzy Order Variable Precision Rough Set Over Two Universes and Its Uncertainty Measures

被引:4
作者
Li, Ran [1 ]
Wang, Qing Hai [1 ]
Gao, Xiao Feng [1 ]
Wang, Zhi Jia [1 ]
机构
[1] Qinghai Normal Univ, Sch Comp, Xining 810000, Peoples R China
来源
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY [ICICT-2019] | 2019年 / 154卷
关键词
U-X V-type double-domain rough set; fuzzy ordered information system; rough entropy;
D O I
10.1016/j.procs.2019.06.042
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Aiming at the problem that the U-X V-type double-domain rough set can't deal with fuzzy data in the past, this paper firstly established the variable precision rough set model on the basis of U-X V-type double-domain rough set,and made an in-depth study on the upper approximation set and the lower approximation set of this model. Then the variable precision rough set model of U-X V-type double-domain fuzzy order information system is established by introducing the U-X V-type double-domain fuzzy dominance relation, and its related properties are discussed.The uncertainty measures are studied by defming the U-X V-type double-domain fuzzy order precision rough set roughness and rough entropy. The conclusions are that as the precision threshold increases, its roughness and roughness entropy decrease gradually. These conclusions are verified by an example, which provides a theoretical basis for further revealing the uncertainty measure law of U-X V-type double-domain fuzzy order variable precision rough set. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:283 / 292
页数:10
相关论文
共 17 条
  • [1] Bao Zhongkui, 2014, Computer Engineering and Applications, V50, P38, DOI 10.3778/j.issn.1002-8331.1402-0056
  • [2] Huang J.J., 2017, COMPUT TECHNOL DEV, V27, P148
  • [3] Rough fuzzy approximations on two universes of discourse
    Li, Tong-Jun
    Zhang, Wen-Xiu
    [J]. INFORMATION SCIENCES, 2008, 178 (03) : 892 - 906
  • [4] ROUGH SETS
    PAWLAK, Z
    [J]. INTERNATIONAL JOURNAL OF COMPUTER & INFORMATION SCIENCES, 1982, 11 (05): : 341 - 356
  • [5] Rudiments of rough sets
    Pawlak, Zdzislaw
    Skowron, Andrzej
    [J]. INFORMATION SCIENCES, 2007, 177 (01) : 3 - 27
  • [6] Decision-theoretic rough fuzzy set model and application
    Sun, Bingzhen
    Ma, Weimin
    Zhao, Haiyan
    [J]. INFORMATION SCIENCES, 2014, 283 : 180 - 196
  • [7] [王宝丽 WANG BaoLi], 2007, [计算机科学, Computer Science], V34, P151
  • [8] Wang Guo-Yin, 2011, Journal of Software, V22, P676, DOI 10.3724/SP.J.1001.2011.03954
  • [9] A survey on rough set theory and applications
    Wang, Guo-Yin
    Yao, Yi-Yu
    Yu, Hong
    [J]. Jisuanji Xuebao/Chinese Journal of Computers, 2009, 32 (07): : 1229 - 1246
  • [10] Wang Hu, 2014, Industrial Engineering Journal, V17, P35, DOI 10.3969/j.issn.1007-7375.2014.05.006