Granular Computing and Intelligent Data Analysis

DATEDecember 31, 2022

Research Interests

We have established a long-term collaboration with Professor Hamido Fujita from Iwate Prefectural University, Japan, an international highly cited scientist and expert in the field of artificial intelligence, and have conducted fruitful research in the areas of uncertainty artificial intelligence, granular computing and knowledge discovery, machine learning and pattern recognition, and will continue to engage in research in relatedfields.

Moreover, we plan to conduct research on granular computing and three-way decisionswith Professor Yiyu Yao,thefounder of the three-way decision at Regina University, Canada, to enrich and develop fundamentaltheory ofuncertaintyartificial intelligence.


[1] T.Q. Deng, Y. Huang, G. Yang, C.Z. Wang. Pointwise mutual information sparsely embedded feature selection.International Journal of Approximate Reasoning,2022,151:251–270

[2] D.D. Yang, T.Q. Deng, H. Fujita. Partial-overall dominance three-way decision models in interval-valued decision systems.International Journal of Approximate Reasoning,2020,126:308–325

[3] T.Q. Deng, D.S. Ye, R. Ma, H. Fujita. Low-rank local tangent space embedding for subspace clustering.Information Sciences,2020,508:1–21

[4] M.H. Ma, T.Q. Deng, et al. Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction.International Journal of Machine Learning and Cybernetics,2019,10(2):397–411

[5] Q. Li, T.Q. Deng. A nonparametric statistical snake model using the gradient flow of minimum probability density integration.Journal of Mathematical Imaging and Vision,2018,60(7):1150–1166

[6] Q. Li, T.Q. Deng. Active contours driven by divergence of gradient vector flow.Signal Processing,2016,120:185–199

[7] T.Q. Deng, Y.M. Chen. Comments from the author of “An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets”[Appl. Math. Modell. 37(2013) 4139-4146].Applied Mathematical Modelling,2015,39(23–24):7744–7745

[8] W. Xie, T.Q. Deng. Variable precision fuzzy hit-or-miss transformation models to object identification in grey-scale images.Journal of Mathematical Imaging and Vision,2015,53(1):112–129

[9] T.Q. Deng, X.F. Wang.An object–parameter approach to predicting unknown data in incomplete fuzzy soft sets.Applied Mathematical Modelling,2013,37(6):4139–4146

[10] T.Q. Deng, W. Xie. Granule–view based feature extraction and classification approach to color image segmentation in a manifold space.Neurocomputing,2013,99(1):46–58

[11] T.Q. Deng, X.F. Wang. Parameter significance and reductions of soft sets.International Journal of Computer Mathematics,2012,89(15):1979–1995

[12] T.Q. Deng, C.D. Yang, X.F. Wang A reduct derived from feature selection.Pattern Recognition Letters,2012,33(12):1638–1646


Tingquan Deng