Shuang An

Orcid: 0009-0006-5259-4391

According to our database1, Shuang An authored at least 35 papers between 2008 and 2025.

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Bibliography

2025
Graph-based necessary and sufficient conditions for exponential stability of switched positive systems with marginally stable subsystems.
Autom., 2025

2024
Graph-Based Restricted and Arbitrary Switching for Switched Positive Systems via a Weak CLCLF.
IEEE Trans. Cybern., August, 2024

New results for the stability analysis of two-layer stochastic switched systems.
Autom., 2024

Adaptive fuzzy neighborhood decision tree.
Appl. Soft Comput., 2024

2023
Exponential Stability of Switched Positive Systems With Unstable Subsystems Based on Digraphs.
IEEE Trans. Autom. Control., December, 2023

A New Cycle-Node Commutator Approach for Stability Analysis of Switched Systems With Transfer-Restricted Switching.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2023

Granularity self-information based uncertainty measure for feature selection and robust classification.
Fuzzy Sets Syst., October, 2023

Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection.
Fuzzy Sets Syst., June, 2023

A soft neighborhood rough set model and its applications.
Inf. Sci., May, 2023

Relative Fuzzy Rough Approximations for Feature Selection and Classification.
IEEE Trans. Cybern., April, 2023

Distributed Tracking Control of Multi-Agent Systems With Transfer Restricted Switching Topologies: A Cycle Stabilization Approach.
IEEE Trans. Netw. Sci. Eng., 2023

2022
Data reduction based on NN-kNN measure for NN classification and regression.
Int. J. Mach. Learn. Cybern., 2022

2021
N-soft rough sets and its applications.
J. Intell. Fuzzy Syst., 2021

A relative uncertainty measure for fuzzy rough feature selection.
Int. J. Approx. Reason., 2021

Dwell-time-based stabilization of switched positive systems with only unstable subsystems.
Sci. China Inf. Sci., 2021

Probability granular distance-based fuzzy rough set model.
Appl. Soft Comput., 2021

2019
Minimum dwell time for global exponential stability of a class of switched positive nonlinear systems.
IEEE CAA J. Autom. Sinica, 2019

A Suspected Noise Filtering Method Using k NN for Robust Classification.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2016
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification.
IEEE Trans. Cybern., 2016

2015
Fuzzy Rough Decision Trees for Multi-label Classification.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
Fuzzy rough regression with application to wind speed prediction.
Inf. Sci., 2014

Fuzzy Rough Decision Trees.
Fundam. Informaticae, 2014

2012
On Robust Fuzzy Rough Set Models.
IEEE Trans. Fuzzy Syst., 2012

Discovery of factors influencing citation impact based on a soft fuzzy rough set model.
Scientometrics, 2012

Development a case-based classifier for predicting highly cited papers.
J. Informetrics, 2012

Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets.
Fundam. Informaticae, 2012

Fuzzy Rough Decision Trees.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

2011
Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection.
Int. J. Comput. Intell. Syst., 2011

Robust fuzzy rough classifiers.
Fuzzy Sets Syst., 2011

Measuring relevance between discrete and continuous features based on neighborhood mutual information.
Expert Syst. Appl., 2011

Case-Based Classifiers with Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2010
An efficient gene selection technique for cancer recognition based on neighborhood mutual information.
Int. J. Mach. Learn. Cybern., 2010

Soft fuzzy rough sets for robust feature evaluation and selection.
Inf. Sci., 2010

A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2008
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008


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