相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Tri-level attribute reduction in rough set theory
Xianyong Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets
Lin Sun et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)
Incremental attribute reduction approaches for ordered data with time-evolving objects
Binbin Sang et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
Lin Sun et al.
INFORMATION SCIENCES (2021)
Dynamic interaction feature selection based on fuzzy rough set
Jihong Wan et al.
INFORMATION SCIENCES (2021)
Attribute reduction with fuzzy rough self-information measures
Changzhong Wang et al.
INFORMATION SCIENCES (2021)
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions
Zhong Yuan et al.
APPLIED SOFT COMPUTING (2021)
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set
Binbin Sang et al.
KNOWLEDGE-BASED SYSTEMS (2021)
A novel hybrid feature selection method considering feature interaction in neighborhood rough set
Jihong Wan et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Discernible neighborhood counting based incremental feature selection for heterogeneous data
Yanyan Yang et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)
Discernibility matrix based incremental feature selection on fused decision tables
Ye Liu et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2020)
Incremental feature selection for dynamic hybrid data using neighborhood rough set
Wenhao Shu et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy
Xiao Zhang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)
Improved general attribute reduction algorithms
Baizhen Li et al.
INFORMATION SCIENCES (2020)
Incremental feature selection based on fuzzy rough sets
Peng Ni et al.
INFORMATION SCIENCES (2020)
Knowledge granularity based incremental attribute reduction for incomplete decision systems
Chucai Zhang et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)
Attribute group for attribute reduction
Yan Chen et al.
INFORMATION SCIENCES (2020)
Incremental approaches for heterogeneous feature selection in dynamic ordered data
Binbin Sang et al.
INFORMATION SCIENCES (2020)
Incremental approaches for feature selection from dynamic data with the variation of multiple objects
Wenhao Shu et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Compressed binary discernibility matrix based incremental attribute reduction algorithm for group dynamic data
Fumin Ma et al.
NEUROCOMPUTING (2019)
OFS-Density: A novel online streaming feature selection method
Peng Zhou et al.
PATTERN RECOGNITION (2019)
Accelerating incremental attribute reduction algorithm by compacting a decision table
Wei Wei et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)
Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets
Yanyan Yang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
An incremental attribute reduction method for dynamic data mining
Yunge Jing et al.
INFORMATION SCIENCES (2018)
Local rough set: A solution to rough data analysis in big data
Yuhua Qian et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2018)
Online Multi-label Group Feature Selection
Jinghua Liu et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Online multi-label streaming feature selection based on neighborhood rough set
Jinghua Liu et al.
PATTERN RECOGNITION (2018)
Attribute reduction in incomplete ordered information systems with fuzzy decision
Wenbin Qian et al.
APPLIED SOFT COMPUTING (2018)
Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving
Yanyan Yang et al.
FUZZY SETS AND SYSTEMS (2017)
Active Sample Selection Based Incremental Algorithm for Attribute Reduction With Rough Sets
Yanyan Yang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)
An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view
Yunge Jing et al.
INFORMATION SCIENCES (2017)
Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data
Yue Wu et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2017)
An incremental algorithm for attribute reduction with variable precision rough sets
Degang Chen et al.
APPLIED SOFT COMPUTING (2016)
Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets
JingTao Yao et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
Optimization Solution of Troesch's and Bratu's Problems of Ordinary Type Using Novel Continuous Genetic Algorithm
Zaer Abo-Hammour et al.
DISCRETE DYNAMICS IN NATURE AND SOCIETY (2014)
Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models
Degang Chen et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)
A Group Incremental Approach to Feature Selection Applying Rough Set Technique
Jiye Liang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)
Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm
Omar Abu Arqub et al.
INFORMATION SCIENCES (2014)
Incremental feature selection based on rough set in dynamic incomplete data
Wenhao Shu et al.
PATTERN RECOGNITION (2014)
An Optimization Algorithm for Solving Systems of Singular Boundary Value Problems
Zaer Abo-Hammour et al.
APPLIED MATHEMATICS & INFORMATION SCIENCES (2014)
Attribute reduction for dynamic data sets
Feng Wang et al.
APPLIED SOFT COMPUTING (2013)
Online Feature Selection with Streaming Features
Xindong Wu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
An accelerator for attribute reduction based on perspective of objects and attributes
Jiye Liang et al.
KNOWLEDGE-BASED SYSTEMS (2013)
Sample Pair Selection for Attribute Reduction with Rough Set
Degang Chen et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)
Positive approximation: An accelerator for attribute reduction in rough set theory
Yuhua Qian et al.
ARTIFICIAL INTELLIGENCE (2010)
Neighborhood rough set based heterogeneous feature subset selection
Qinghua Hu et al.
INFORMATION SCIENCES (2008)
Rough sets: Some extensions
Zdzislaw Pawlak et al.
INFORMATION SCIENCES (2007)
Case generation using rough sets with fuzzy representation
SK Pal et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)