Search Result

1

Three-way clustering algorithm based on maximum coalition rough set

基于最大联盟粗糙集的三支聚类

Chen Zhiqi

Wan Renxia

Yue Xiaodong

Chen Ruidian

standardized neighborhood information system

maximum coalition set

neighborhood rough sets

boundary region

three-way clustering

comparison accuracy

Accepted Paper No. 8, 2024 : doi:10.19734/j.issn.1001-3695.2023.12.0582

2

Novel method to attribute reduction based on information entropy weighting

一种基于信息熵加权的属性约简算法

Luo Fan

Jiang Yu

attribute reduction

neighborhood rough set

attribute weighting

information entropy

No. 4, 2024 : 1047-1051 doi:10.19734/j.issn.1001-3695.2023.07.0366

3

Three-way neighborhood attribute reduction algorithm based on test cost

基于测试代价的三支邻域属性约简算法

Zhang Xinrui

Wan Renxia

Yue Xiaodong

Chen Ruidian

neighborhood rough set

neighborhood resolution matrix

attribute reduction

test cost

three-way decisions

No. 3, 2024 : 836-841 doi:10.19734/j.issn.1001-3695.2023.06.0306

4

Parallel deep forest algorithm based on Spark and NRSCA strategy

基于Spark和NRSCA策略的并行深度森林算法

Mao Yimin

Liu Shaofen

parallel deep forest algorithm

Spark framework

neighborhood rough sets

sine cosine algorithm

multi-granularing scanning

No. 1, 2024 : 126-133 doi:10.19734/j.issn.1001-3695.2023.05.0196

5

Improved ID3 decision tree algorithm induced by neighborhood equivalence relation

邻域等价关系诱导的改进ID3决策树算法

Xie Xin

Zhang Xianyong

Yang Jilin

decision tree

ID3 algorithm

neighborhood rough set

neighborhood equivalence relation

neighborhood information gain

machine learning

No. 1, 2022 : 102-105,112 doi:10.19734/j.issn.1001-3695.2021.06.0294

6

Rotor fault data set classification method based on EEMD energy moment and neighborhood rough sets

基于EEMD能量矩与邻域粗糙集的转子故障数据集分类方法

Sun Zejin

Zhao Rongzhen

EEMD

IMF

energy moment

decision table

NRS

attribute reduction

decision tree C4.5 algorithm

No. 2, 2020 : 460-464 doi:10.19734/j.issn.1001-3695.2018.07.0532

7

Neighborhood rough set attribute reduction algorithm based on matrix reservation strategy

基于矩阵保留策略的邻域粗糙集属性约简算法

Gao Yang

Liu Zunren

Ji Jun

neighborhood rough set

positive region

attribute reduction

fast algorithm

No. 12, 2019 : 3570-3573 doi:10.19734/j.issn.1001-3695.2018.05.0390

8

Fault prediction for communication and signal equipment based on KNE-BPNN

基于KNE-BPNN的电务设备故障预测

Li Chenguang

Qiao Shuai

Yang Xiaojie

Xie Weifan

Li Chuanzi

Li Junhong

BP neural network

neighborhood rough set

approximate conditional entropy

reduction attributes

fault prediction

K-means clustering method

No. 9, 2019 : 2712-2717 doi:10.19734/j.issn.1001-3695.2018.03.0201

9

Adaptable method for determining neighborhood size of neighborhood rough set

自适应的邻域粗糙集邻域大小取值方法

Peng Xiaoran

Liu Zunren

Ji Jun

neighborhood rough set

neighborhood size

attribute reduction

classification

No. 1, 2019 : 144-147 doi:10.19734/j.issn.1001-3695.2017.07.0676

10

Dimension reduction for information tables based on knowledge partition of neighborhood rough set

基于邻域粗糙集下知识划分的信息表降维

Peng Xiaoran

Liu Zunren

Ji Jun

dimension-reduction

clustering

information table

neighborhood rough set

principal component analysis

attribute reduction

No. 1, 2019 : 148-152 doi:10.19734/j.issn.1001-3695.2017.06.0650

Search neighborhood rough set

Searchneighborhood rough setreturned 10 results

Three-way clustering algorithm based on maximum coalition rough set

Novel method to attribute reduction based on information entropy weighting

Three-way neighborhood attribute reduction algorithm based on test cost

Parallel deep forest algorithm based on Spark and NRSCA strategy

Improved ID3 decision tree algorithm induced by neighborhood equivalence relation

Rotor fault data set classification method based on EEMD energy moment and neighborhood rough sets

Neighborhood rough set attribute reduction algorithm based on matrix reservation strategy

Fault prediction for communication and signal equipment based on KNE-BPNN

Adaptable method for determining neighborhood size of neighborhood rough set

Dimension reduction for information tables based on knowledge partition of neighborhood rough set