[1] |
XIAO Zhen-guo, CHEN Lin-shu, SUN Shao-jie, MEI Ben-xia, LIU Yuan-hui, ZHAO Lei.
A clustering method based on algebraic granularity
[J]. Computer Engineering & Science, 2024, 46(01): 150-158.
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[2] |
WEI Cun-yang, JIA Hai-peng, ZHANG Yun-quan, QU Guo-yuan, WEI Da-zhou, ZHANG Guang-ting.
Implementation and optimization of image processing algorithms based on ARMv8 CPUs
[J]. Computer Engineering & Science, 2022, 44(10): 1711-1720.
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[3] |
LUO Gong-zhi, CHEN Jia-xin.
A weighted generalized multi-granulation rough set model of multi-source covering information system and its applications
[J]. Computer Engineering & Science, 2021, 43(12): 2231-2237.
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[4] |
LI Yu-chen, WEI Wei, BAI Wei-ming, WANG Da.
Multi-label feature selection based on label co-occurrence relationship
[J]. Computer Engineering & Science, 2021, 43(11): 2049-2055.
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[5] |
JIANG Chun-mao, LIU An-peng.
An attribute reduction acceleration method based on three-way decisions
[J]. Computer Engineering & Science, 2020, 42(12): 2280-2286.
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[6] |
WANG Hong, LI Min-ying.
Local generalized multi-granulation rough set
[J]. Computer Engineering & Science, 2020, 42(08): 1463-1471.
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[7] |
CHEN Li-fang,FENG Li-jing,LIU Bao-xiang.
Neural network rule optimization modeling and its application
[J]. Computer Engineering & Science, 2019, 41(12): 2247-2254.
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[8] |
SHE Zhiyong,DUAN Chao,ZHANG Lei.
An image segmentation algorithm using variable
precision least square rough entropy
[J]. Computer Engineering & Science, 2019, 41(04): 657-664.
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[9] |
WU Shangzhi1,ZHANG Wenchao2,SHE Zhiyong1,ZHANG Xia1,DUAN Chao1.
A rough set attribute reduction method
using ant colony optimization algorithm
[J]. Computer Engineering & Science, 2019, 41(03): 538-544.
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[10] |
WU Shangzhi1,SHE Zhiyong2,ZHANG Xia1,ZHAO Huiqin3.
An image segmentation algorithm
using variable precision rough entropy
[J]. Computer Engineering & Science, 2018, 40(10): 1837-1843.
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[11] |
LI Lianhui,WANG Li,LEI Ting,DING Shaohu.
Vendors sequencing for manufacturing enterprise:
Improved TOPSIS based on SVM and trapezoidal
fuzzy number-rough set method
[J]. Computer Engineering & Science, 2018, 40(04): 757-764.
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[12] |
MA Fu-min1,LU Rui-qiang1,ZHANG Teng-fei2.
Rough K-means clustering based
on local density adaptive measure
[J]. Computer Engineering & Science, 2018, 40(01): 184-190.
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[13] |
MAO Hua,KANG Ran,YANG Lan-zhen.
Variable precision rough set approximations in
concept lattice based on the fixed value of β
[J]. Computer Engineering & Science, 2017, 39(12): 2345-2350.
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[14] |
XU Yi1,2,LI Ce2.
A variable precision multi-granulation rough set model based on multiple thresholds
[J]. Computer Engineering & Science, 2016, 38(08): 1727-1734.
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[15] |
YAN Zhihuan.
Rough description logic based on
formal concept analysis
[J]. J4, 2016, 38(05): 1002-1006.
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