Jiye Liang

According to our database1, Jiye Liang
  • authored at least 122 papers between 2002 and 2017.
  • has a "Dijkstra number"2 of five.

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Bibliography

2017
Clustering ensemble selection for categorical data based on internal validity indices.
Pattern Recognition, 2017

Fast density clustering strategies based on the k-means algorithm.
Pattern Recognition, 2017

A multi-view OVA model based on decision tree for multi-classification tasks.
Knowl.-Based Syst., 2017

Grouping granular structures in human granulation intelligence.
Inf. Sci., 2017

Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.
Inf. Sci., 2017

Fast graph clustering with a new description model for community detection.
Inf. Sci., 2017

An efficient instance selection algorithm for k nearest neighbor regression.
Neurocomputing, 2017

Local multigranulation decision-theoretic rough sets.
Int. J. Approx. Reasoning, 2017

An Ensemble Classification Algorithm Based on Information Entropy for Data Streams.
CoRR, 2017

An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment.
Appl. Soft Comput., 2017

k-mw-modes: An algorithm for clustering categorical matrix-object data.
Appl. Soft Comput., 2017

A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes.
Applied Mathematics and Computation, 2017

2016
Space Structure and Clustering of Categorical Data.
IEEE Trans. Neural Netw. Learning Syst., 2016

An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information.
IEEE Trans. Knowl. Data Eng., 2016

An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts.
IEEE Trans. Knowl. Data Eng., 2016

Decision-theoretic rough sets under dynamic granulation.
Knowl.-Based Syst., 2016

Comparison study of orthonormal representations of functional data in classification.
Knowl.-Based Syst., 2016

A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems.
Knowl.-Based Syst., 2016

Fuzzy rough approximations for set-valued data.
Inf. Sci., 2016

An efficient feature selection algorithm for hybrid data.
Neurocomputing, 2016

Adaptation Approaches in Unsupervised Learning: A Survey of the State-of-the-Art and Future Directions.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2015
Fusing Monotonic Decision Trees.
IEEE Trans. Knowl. Data Eng., 2015

Fuzzy Granular Structure Distance.
IEEE Trans. Fuzzy Systems, 2015

Determining decision makers' weights in group ranking: a granular computing method.
Int. J. Machine Learning & Cybernetics, 2015

Compacted decision tables based attribute reduction.
Knowl.-Based Syst., 2015

An information fusion approach by combining multigranulation rough sets and evidence theory.
Inf. Sci., 2015

An improved incremental nonlinear dimensionality reduction for isometric data embedding.
Inf. Process. Lett., 2015

A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015

Uncertainty Measures for Multigranulation Approximation Space.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015

Fuzzy-rough feature selection accelerator.
Fuzzy Sets and Systems, 2015

Cluster validity functions for categorical data: a solution-space perspective.
Data Min. Knowl. Discov., 2015

Methods and Practices of Three-Way Decisions for Complex Problem Solving.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Decision-Oriented Rough Set Methods.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
A Group Incremental Approach to Feature Selection Applying Rough Set Technique.
IEEE Trans. Knowl. Data Eng., 2014

A simple and effective outlier detection algorithm for categorical data.
Int. J. Machine Learning & Cybernetics, 2014

A rule-extraction framework under multigranulation rough sets.
Int. J. Machine Learning & Cybernetics, 2014

Topological approach to multigranulation rough sets.
Int. J. Machine Learning & Cybernetics, 2014

Pessimistic rough set based decisions: A multigranulation fusion strategy.
Inf. Sci., 2014

Trend analysis of categorical data streams with a concept change method.
Inf. Sci., 2014

The k-modes type clustering plus between-cluster information for categorical data.
Neurocomputing, 2014

Multigranulation decision-theoretic rough sets.
Int. J. Approx. Reasoning, 2014

Set-based granular computing: A lattice model.
Int. J. Approx. Reasoning, 2014

Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making.
Fundam. Inform., 2014

A Novel Intelligent Multi-attribute Three-Way Group Sorting Method Based on Dempster-Shafer Theory.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

2013
The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Consistency-preserving attribute reduction in fuzzy rough set framework.
Int. J. Machine Learning & Cybernetics, 2013

Attribute reduction: A dimension incremental strategy.
Knowl.-Based Syst., 2013

An accelerator for attribute reduction based on perspective of objects and attributes.
Knowl.-Based Syst., 2013

Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?
Inf. Sci., 2013

Multigranulation rough sets: From partition to covering.
Inf. Sci., 2013

Fast global k-means clustering based on local geometrical information.
Inf. Sci., 2013

A weighting k-modes algorithm for subspace clustering of categorical data.
Neurocomputing, 2013

Decision-relative discernibility matrices in the sense of entropies.
Int. J. General Systems, 2013

A novel fuzzy clustering algorithm with between-cluster information for categorical data.
Fuzzy Sets and Systems, 2013

Attribute reduction for dynamic data sets.
Appl. Soft Comput., 2013

Contact Network Model with Covert Infection.
Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013

2012
The K -Means-Type Algorithms Versus Imbalanced Data Distributions.
IEEE Trans. Fuzzy Systems, 2012

Determining the number of clusters using information entropy for mixed data.
Pattern Recognition, 2012

A two-grade approach to ranking interval data.
Knowl.-Based Syst., 2012

Evaluation of the decision performance of the decision rule set from an ordered decision table.
Knowl.-Based Syst., 2012

Distance: A more comprehensible perspective for measures in rough set theory.
Knowl.-Based Syst., 2012

A dissimilarity measure for the k-Modes clustering algorithm.
Knowl.-Based Syst., 2012

A comparative study of rough sets for hybrid data.
Inf. Sci., 2012

An efficient rough feature selection algorithm with a multi-granulation view.
Int. J. Approx. Reasoning, 2012

A cluster centers initialization method for clustering categorical data.
Expert Syst. Appl., 2012

Partial ordering of information granulations: a further investigation.
Expert Systems, 2012

Information Granularity and Granular Structure in Decision Making.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Fuzziness-Preserving Attribute Reduction from Hybrid Data.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Variable precision multi-granulation rough set.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Feature selection for large-scale data sets in GrC.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
Information Granularity in Fuzzy Binary GrC Model.
IEEE Trans. Fuzzy Systems, 2011

The dynamical neighborhood selection based on the sampling density and manifold curvature for isometric data embedding.
Pattern Recognition Letters, 2011

An efficient accelerator for attribute reduction from incomplete data in rough set framework.
Pattern Recognition, 2011

A novel attribute weighting algorithm for clustering high-dimensional categorical data.
Pattern Recognition, 2011

An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data.
Knowl.-Based Syst., 2011

A data labeling method for clustering categorical data.
Expert Syst. Appl., 2011

How to organize data with measurement errors?
Proceedings of the IEEE International Conference on Systems, 2011

An Efficient Fuzzy-Rough Attribute Reduction Approach.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Uncertainty and Feature Selection in Rough Set Theory.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Closed-Label Concept Lattice Based Rule Extraction Approach.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Incomplete Multigranulation Rough Set.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2010

A Framework for Clustering Categorical Time-Evolving Data.
IEEE Trans. Fuzzy Systems, 2010

Approximation reduction in inconsistent incomplete decision tables.
Knowl.-Based Syst., 2010

MGRS: A multi-granulation rough set.
Inf. Sci., 2010

Comparative study of decision performance of decision tables induced by attribute reductions.
Int. J. General Systems, 2010

Positive approximation: An accelerator for attribute reduction in rough set theory.
Artif. Intell., 2010

A heuristic method to attribute reduction for concept lattice.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

On Partial Order Relations in Granular Computing.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
A deterministic annealing algorithm for approximating a solution of the min-bisection problem.
Neural Networks, 2009

Set-valued ordered information systems.
Inf. Sci., 2009

A new measure of uncertainty based on knowledge granulation for rough sets.
Inf. Sci., 2009

A New Method for Measuring the Uncertainty in Incomplete Information Systems.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009

Knowledge structure, knowledge granulation and knowledge distance in a knowledge base.
Int. J. Approx. Reasoning, 2009

A new initialization method for categorical data clustering.
Expert Syst. Appl., 2009

An initialization method for the K-Means algorithm using neighborhood model.
Computers & Mathematics with Applications, 2009

Apply Inversion Order Number Genetic Algorithm to the Job Shop Scheduling Problem.
Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009

A Time-Reduction Strategy to Feature Selection in Rough Set Theory.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

An attribute reduction approach and its accelerated version for hybrid data.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets, 2008

Measures for evaluating the decision performance of a decision table in rough set theory.
Inf. Sci., 2008

Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008

Combination Entropy and Combination Granulation in Rough Set Theory.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008

Consistency measure, inclusion degree and fuzzy measure in decision tables.
Fuzzy Sets and Systems, 2008

On the evaluation of the decision performance of an incomplete decision table.
Data Knowl. Eng., 2008

Interval ordered information systems.
Computers & Mathematics with Applications, 2008

Converse approximation and rule extraction from decision tables in rough set theory.
Computers & Mathematics with Applications, 2008

Information granules and entropy theory in information systems.
Science in China Series F: Information Sciences, 2008

Consistency and Fuzziness in Ordered Decision Tables.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Granulation Operators on a Knowledge Base.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007
Study of decision implications based on formal concept analysis.
Int. J. General Systems, 2007

Evaluation Method for Decision Rule Sets.
Proceedings of the Rough Sets, 2007

MGRS in Incomplete Information Systems.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006
Combination Entropy and Combination Granulation in Incomplete Information System.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

A Measure Method for Indiscernibility in Imperfect Information System.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Axiomatic Approach of Knowledge Granulation in Information System.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Rough Set Approximation Based on Dynamic Granulation.
Proceedings of the Rough Sets, 2005

2004
The Information Entropy, Rough Entropy And Knowledge Granulation In Rough Set Theory.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004

2003
Rough Set Data Analysis Algorithms for Incomplete Information Systems.
Proceedings of the Rough Sets, 2003

2002
Inclusion degree: a perspective on measures for rough set data analysis.
Inf. Sci., 2002

The Algorithm on Knowledge Reduction in Incomplete Information Systems.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002

A new method for measuring uncertainty and fuzziness in rough set theory.
Int. J. General Systems, 2002


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