Chuangyin Dang

Computational Theory and Mathematics · 2002–2017

A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 33 citations into it; #7,705 of 12,182 by trust here, #4,696 by citations
• Artificial Intelligence — 22 citations into it; #25,891 of 35,345 by trust here, #25,809 by citations
• Information Systems — 17 citations into it
• Management Science and Operations Research — 12 citations into it
• Computer Networks and Communications — 7 citations into it; #4,958 of 9,886 by trust here, #5,340 by citations
• Control and Systems Engineering — 7 citations into it; #4,034 of 8,257 by trust here, #3,865 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Chuangyin Dang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zdzislaw Pawlak
2. Yiyu Yao
3. Daniel Liberzon
4. Qinghua Hu
5. Andrzej Skowron
6. Lotfi A. Zadeh
7. Roman W. Swiniarski
8. Daren Yu
9. Richard Jensen

Who trusts Chuangyin Dang overall

1. Xudong Zhao
2. Xindong Peng

Papers from Chuangyin Dang's perspective

Ordered by how strongly the researchers Chuangyin Dang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Information-preserving hybrid data reduction based on fuzzy-rough techniques (Pattern Recognition Letters)
2. Approaches to knowledge reduction based on variable precision rough set model (Information Sciences)
3. Information granulation and rough set approximation (International Journal of Intelligent Systems)
4. Generalized fuzzy rough sets (Information Sciences)
5. Fuzzy-Rough Sets Assisted Attribute Selection (IEEE transactions on fuzzy systems)
6. Decision Table Reduction based on Conditional Information Entropy
7. Rough sets, decision algorithms and Bayes' theorem (European Journal of Operational Research)
8. Consistency-based search in feature selection
9. Rough set methods in feature selection and recognition (Pattern Recognition Letters)
10. A New Direction in AI: Toward a Computational Theory of Perceptions (The AI Magazine)

Their papers

• A new method for measuring uncertainty and fuzziness in rough set theory (2002) — 328 citations
• Positive approximation: An accelerator for attribute reduction in rough set theory (2010) — 643 citations
• MGRS: A multi-granulation rough set (2010) — 704 citations
• Incomplete Multigranulation Rough Set (2010) — 319 citations
• The loss-averse newsvendor model with backordering (2017) — 51 citations
• Stability Analysis of Positive Switched Linear Systems With Delays (2011) — 338 citations
• An aftertreatment technique for improving the accuracy of Adomian's decomposition method (2002) — 129 citations