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Degang Chen
North China Electric Power University
104Publications
24H-index
1,741Citations
Publications 104
Newest
Published on May 1, 2019in Information Sciences 5.52
Yanting Guo , Eric C. C. Tsang24
Estimated H-index: 24
+ 1 AuthorsDegang Chen24
Estimated H-index: 24
Abstract Local rough sets as a generalization of classical rough sets not only inherit the advantages of classical rough sets which can handle imprecise, fuzzy and uncertain data, but also break through the limitation of classical rough sets requiring large amount of labeled data. The existing researches on local rough sets mainly use the relative quantitative information between a target concept and equivalence classes of those objects contained in the target concept to approximate the target c...
Bingjiao Fan2
Estimated H-index: 2
(MUST: Macau University of Science and Technology),
Eric C. C. Tsang24
Estimated H-index: 24
(MUST: Macau University of Science and Technology)
+ 2 AuthorsWen-Tao Li1
Estimated H-index: 1
(HIT: Harbin Institute of Technology)
Recently, formal concept analysis has become a potential direction of cognitive computing, which can describe the processes of cognitive concept learning. We establish a concept hierarchy structure based on the existing cognitive concept learning methods. However, none of these methods could obtain the following results: get the concept, recognize objects and distinguish between two different objects. In this paper, our focus is to construct an attribute-oriented multi-level cognitive concept le...
Published on Jan 1, 2018in IEEE Transactions on Fuzzy Systems 8.76
Linlin Chen (NCEPU: North China Electric Power University), Degang Chen24
Estimated H-index: 24
(NCEPU: North China Electric Power University),
Hui Wang29
Estimated H-index: 29
(Ulster University)
Fuzzy similarity relation is a function to measure the similarity between two samples. It is widely used to learn knowledge under the framework of fuzzy machine learning. The selection of a suitable fuzzy similarity relation is important for the learning task. It has been pointed out that fuzzy similarity relations can be brought into the framework of kernel functions in machine learning. This fact motivates us to study fuzzy similarity relation selection for fuzzy machine learning utilizing ker...
Published on Nov 23, 2018
Degang Chen24
Estimated H-index: 24
(NCEPU: North China Electric Power University),
Degang Chen (NCEPU: North China Electric Power University)+ 0 AuthorsJinhai Li13
Estimated H-index: 13
(Kunming University of Science and Technology)
Published on Jun 29, 2019
Eric C. C. Tsang24
Estimated H-index: 24
(MUST: Macau University of Science and Technology),
Bingjiao Fan2
Estimated H-index: 2
(MUST: Macau University of Science and Technology)
+ 2 AuthorsWen-Tao Li1
Estimated H-index: 1
(HIT: Harbin Institute of Technology)
As a new interdisciplinary field induced by formal concept analysis, rough set, granular computing and cognitive computing, cognitive concept learning has received a great attention in recent years. Cognitive concept learning refers to the acquisition of specific concepts through specific cognitive concept learning approaches. The processes of concept learning mainly focus on simulating human brain recognizing concepts through the modeling of brain intelligence. In this paper, we investigate the...
Eric C. C. Tsang24
Estimated H-index: 24
(MUST: Macau University of Science and Technology),
Jingjing Song1
Estimated H-index: 1
(MUST: Macau University of Science and Technology)
+ 1 AuthorsXibei Yang18
Estimated H-index: 18
(Jiangsu University)
Granular computing which focuses on everyday and commonly used concepts and notions is a new field of multi-disciplinary study in dealing with theories, methodologies and techniques. As an important role in granular computing, hierarchy has attracted considerable attention. We are usually hesitant and irresolute for one thing when making decisions, which leads to a set of possible membership degrees. However, the existing hierarchies focus on crisp environment or fuzzy environment in which each ...
Published on Jun 1, 2019in Knowledge Based Systems 5.10
Yanting Guo (MUST: Macau University of Science and Technology), Eric C. C. Tsang24
Estimated H-index: 24
(MUST: Macau University of Science and Technology)
+ 1 AuthorsDegang Chen24
Estimated H-index: 24
(NCEPU: North China Electric Power University)
Abstract With the development of information technology, the sources of information are increasing. How to make good use of information from different sources to make correct decisions is an important problem in multi-source information systems. From the perspective of information granulations, each source can be regarded as a granular structure and the importance of different granulations may be different in multi-source systems. We provide a weighted generalized multi-granulation interval-valu...
Published on May 28, 2018in Neural Processing Letters 2.59
Linlin Chen (NCEPU: North China Electric Power University), Degang Chen24
Estimated H-index: 24
(NCEPU: North China Electric Power University),
Hui Wang29
Estimated H-index: 29
(Ulster University)
Kernel based methods are increasingly being used for data modeling because of their conceptual simplicity and outstanding performance on many learning tasks. And kernel alignment, which is usually employed to select particular kernel for a learning task, is an effective quantity to measure the degree of agreement between a kernel and a learning task. However, the existing kernel alignment methods are usually developed for single-label classification problems. In this paper, we consider kernel al...
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