Degang Chen

D-Index & Metrics

Discipline name D-index Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 4,414 97 World Ranking 6606 National Ranking 629

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Machine learning
• Algebra

Degang Chen mostly deals with Rough set, Fuzzy set, Data mining, Fuzzy set operations and Fuzzy number. Degang Chen has researched Rough set in several fields, including Discrete mathematics, Algorithm, Reduction and Fuzzy logic. His Reduction research includes elements of Soft set, Point, Decision problem and Mathematical optimization.

His research investigates the connection with Data mining and areas like Artificial intelligence which intersect with concerns in Pattern recognition. His research in Fuzzy number focuses on subjects like Fuzzy classification, which are connected to Neuro-fuzzy, Kernel embedding of distributions and Variable kernel density estimation. His Defuzzification research integrates issues from Type-2 fuzzy sets and systems and Membership function.

His most cited work include:

• The parameterization reduction of soft sets and its applications (483 citations)
• On the generalization of fuzzy rough sets (368 citations)
• Attributes Reduction Using Fuzzy Rough Sets (228 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Rough set, Data mining, Artificial intelligence, Fuzzy set and Fuzzy number. His research in Rough set intersects with topics in Discrete mathematics, Algorithm, Reduction and Fuzzy logic. His work deals with themes such as Entropy, Preprocessor, Data set and Knowledge representation and reasoning, which intersect with Data mining.

His studies in Artificial intelligence integrate themes in fields like Machine learning and Pattern recognition. His Fuzzy set study frequently intersects with other fields, such as Mathematical optimization. His work carried out in the field of Fuzzy number brings together such families of science as Fuzzy set operations, Fuzzy classification and Membership function.

He most often published in these fields:

• Rough set (52.45%)
• Data mining (30.77%)
• Artificial intelligence (30.07%)

What were the highlights of his more recent work (between 2017-2021)?

• Rough set (52.45%)
• Fuzzy logic (18.88%)
• Computational intelligence (9.79%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Rough set, Fuzzy logic, Computational intelligence, Artificial intelligence and Data mining. His research integrates issues of Algorithm, Reduction, Relation and Equivalence class in his study of Rough set. His Fuzzy rough sets and Fuzzy set investigations are all subjects of Fuzzy logic research.

His Computational intelligence study also includes fields such as

• Pattern recognition together with Complex system and Matrix,
• Granular computing which is related to area like Concept learning and Formal concept analysis,
• Basis and related Choquet integral and Discrete mathematics. His Artificial intelligence research is multidisciplinary, incorporating elements of Relevance and Pattern recognition. His Data mining research incorporates themes from Entropy and Perspective.

Between 2017 and 2021, his most popular works were:

• Feature Selection Based on Neighborhood Discrimination Index (88 citations)
• Covering-Based Variable Precision $(\mathcal {I},\mathcal {T})$ -Fuzzy Rough Sets With Applications to Multiattribute Decision-Making (60 citations)
• Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets (38 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Machine learning
• Algebra

His primary areas of investigation include Rough set, Fuzzy logic, Feature selection, Artificial intelligence and Entropy. His Rough set study incorporates themes from Algorithm, Theoretical computer science and Equivalence relation. In the subject of general Fuzzy logic, his work in Fuzzy rough sets is often linked to Data modeling, thereby combining diverse domains of study.

His Feature selection research incorporates themes from Element, Data mining and Feature. Many of his studies on Data mining apply to Algorithm design as well. His Artificial intelligence study integrates concerns from other disciplines, such as Concept learning, Structure and Pattern recognition.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The parameterization reduction of soft sets and its applications

Degang Chen;E. C. C. Tsang;Daniel S. Yeung;Xizhao Wang.
Computers & Mathematics With Applications (2005)

882 Citations

On the generalization of fuzzy rough sets

D.S. Yeung;Degang Chen;E.C.C. Tsang;J.W.T. Lee.
IEEE Transactions on Fuzzy Systems (2005)

442 Citations

Attributes Reduction Using Fuzzy Rough Sets

E.C.C. Tsang;Degang Chen;D.S. Yeung;Xi-Zhao Wang.
IEEE Transactions on Fuzzy Systems (2008)

295 Citations

Feature selection in mixed data

Xiao Zhang;Changlin Mei;Degang Chen;Jinhai Li.
Pattern Recognition (2016)

213 Citations

Learning fuzzy rules from fuzzy samples based on rough set technique

Xizhao Wang;Eric C. C. Tsang;Suyun Zhao;Degang Chen.
Information Sciences (2007)

211 Citations

The Model of Fuzzy Variable Precision Rough Sets

Suyun Zhao;E. Tsang;Degang Chen.
IEEE Transactions on Fuzzy Systems (2009)

203 Citations

Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications

Qinghua Hu;Lei Zhang;Degang Chen;Witold Pedrycz.
International Journal of Approximate Reasoning (2010)

187 Citations

Rough set theory for the interval-valued fuzzy information systems

Zengtai Gong;Bingzhen Sun;Degang Chen.
Information Sciences (2008)

162 Citations

Fuzzy rough set theory for the interval-valued fuzzy information systems

Bingzhen Sun;Zengtai Gong;Degang Chen.
Information Sciences (2008)

154 Citations

A Fitting Model for Feature Selection With Fuzzy Rough Sets

Changzhong Wang;Yali Qi;Mingwen Shao;Qinghua Hu.
IEEE Transactions on Fuzzy Systems (2017)

152 Citations

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Best Scientists Citing Degang Chen

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