Ju-Sheng Mi
Orcid: 0000-0002-3753-4490
According to our database1,
Ju-Sheng Mi
authored at least 127 papers
between 2002 and 2025.
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Bibliography
2025
Unsupervised attribute reduction algorithm framework based on spectral clustering and attribute significance function.
Appl. Intell., January, 2025
Intuitive-K-prototypes: A mixed data clustering algorithm with intuitionistic distribution centroid.
Pattern Recognit., 2025
A three-way decision model in incomplete ordered information systems with fuzzy pre-decision.
Inf. Sci., 2025
Appl. Soft Comput., 2025
2024
Exploiting local label correlation from sample perspective for multi-label classification via three-way decision theory.
Appl. Soft Comput., December, 2024
Int. J. Mach. Learn. Cybern., May, 2024
Appl. Intell., February, 2024
A novel method for generating a canonical basis for decision implications based on object-induced three-way operators.
Knowl. Based Syst., January, 2024
Knowl. Based Syst., 2024
Granular structure evaluation and selection based on justifiable granularity principle.
Inf. Sci., 2024
Int. J. Approx. Reason., 2024
Fuzzy Sets Syst., 2024
Appl. Soft Comput., 2024
2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
An improved TOPSIS method for multi-criteria decision making based on hesitant fuzzy β neighborhood.
Artif. Intell. Rev., October, 2023
Fuzzy Decision Rule-Based Online Classification Algorithm in Fuzzy Formal Decision Contexts.
IEEE Trans. Fuzzy Syst., September, 2023
Axiomatic characterizations of (𝔾, 𝕆)-fuzzy rough approximation operators via overlap and grouping functions on a complete lattice.
Int. J. Gen. Syst., August, 2023
Int. J. Mach. Learn. Cybern., July, 2023
An updated method of granular reduct based on cognitive operators in formal contexts.
Int. J. Approx. Reason., March, 2023
Learning Instance-Level Label Correlation Distribution for Multilabel Classification With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2023
A novel approach for ranking intuitionistic fuzzy numbers and its application to decision making.
J. Intell. Fuzzy Syst., 2023
2022
IEEE Trans. Fuzzy Syst., 2022
A multi-granularity information fusion method based on logistic regression model and Dempster-Shafer evidence theory and its application.
Int. J. Mach. Learn. Cybern., 2022
Dynamic updating approximations approach to multi-granulation interval-valued hesitant fuzzy information systems with time-evolving attributes.
Knowl. Based Syst., 2022
J. Intell. Fuzzy Syst., 2022
A new approach to generalized neighborhood system-based rough sets via convex structures and convex matroids.
Inf. Sci., 2022
A three-way decision approach with probabilistic dominance relations under intuitionistic fuzzy information.
Inf. Sci., 2022
A novel probabilistic hesitant fuzzy rough set based multi-criteria decision-making method.
Inf. Sci., 2022
Axiomatic characterizations of <i>L</i>-fuzzy rough sets by <i>L</i>-fuzzy unions and <i>L</i>-fuzzy intersections.
Int. J. Gen. Syst., 2022
Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets.
Fuzzy Sets Syst., 2022
Cogn. Comput., 2022
2021
Single axiomatic characterization of a hesitant fuzzy generalization of rough approximation operators.
Soft Comput., 2021
Attribute reduction in formal decision contexts and its application to finite topological spaces.
Int. J. Mach. Learn. Cybern., 2021
Int. J. Mach. Learn. Cybern., 2021
A new fuzzy multi-attribute group decision-making method with generalized maximal consistent block and its application in emergency management.
Knowl. Based Syst., 2021
Inf. Sci., 2021
Concurr. Comput. Pract. Exp., 2021
2020
A dynamic approach for updating the lower approximation in adjustable multi-granulation rough sets.
Soft Comput., 2020
Incremental mechanism of attribute reduction based on discernible relations for dynamically increasing attribute.
Soft Comput., 2020
Using single axioms to characterize <i>L</i>-rough approximate operators with respect to various types of <i>L</i>-relations.
Int. J. Mach. Learn. Cybern., 2020
基于局部可调节多粒度粗糙集的属性约简 (Attribute Reduction Based on Local Adjustable Multi-granulation Rough Set).
计算机科学, 2020
A novel approach for learning label correlation with application to feature selection of multi-label data.
Inf. Sci., 2020
Int. J. Approx. Reason., 2020
Dynamic granularity selection based on local weighted accuracy and local likelihood ratio.
Appl. Soft Comput., 2020
2019
Soft Comput., 2019
Int. J. Mach. Learn. Cybern., 2019
Attributes set reduction in multigranulation approximation space of a multi-source decision information system.
Int. J. Mach. Learn. Cybern., 2019
Knowl. Based Syst., 2019
计算机科学, 2019
Optimal granulation selection for similarity measure-based multigranulation intuitionistic fuzzy decision-theoretic rough sets.
J. Intell. Fuzzy Syst., 2019
A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts.
J. Intell. Fuzzy Syst., 2019
Int. J. Approx. Reason., 2019
Complex., 2019
CAAI Trans. Intell. Technol., 2019
2018
Knowl. Based Syst., 2018
Information fusion and numerical characterization of a multi-source information system.
Knowl. Based Syst., 2018
计算机科学, 2018
广义优势多粒度直觉模糊粗糙集的属性约简 (Generalized Dominance-based Attribute Reduction for Multigranulation Intuitionistic Fuzzy Rough Set).
计算机科学, 2018
概念格中基于粗糙熵的属性约简方法 (Rough Entropy Based Algorithm for Attribute Reduction in Concept Lattice).
计算机科学, 2018
Multi-adjoint based group decision-making under an intuitionistic fuzzy information system Using LATEX.
Int. J. Comput. Intell. Syst., 2018
2017
Int. J. Mach. Learn. Cybern., 2017
Int. J. Mach. Learn. Cybern., 2017
不完备决策形式背景的概念构建与属性约简 (Concept Construction and Attribute Reduction in Incomplete Decision Formal Contexts).
计算机科学, 2017
J. Intell. Fuzzy Syst., 2017
Uncertainty and reduction of variable precision multigranulation fuzzy rough sets based on three-way decisions.
Int. J. Approx. Reason., 2017
2016
Knowl. Based Syst., 2016
计算机科学, 2016
J. Intell. Fuzzy Syst., 2016
Boundary region-based rough sets and uncertainty measures in the approximation space.
Inf. Sci., 2016
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
2015
Int. J. Mach. Learn. Cybern., 2015
Neurocomputing, 2015
Fundam. Informaticae, 2015
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
2014
Noise model based v-support vector regression with its application to short-term wind speed forecasting.
Neural Networks, 2014
Inf. Sci., 2014
Int. J. Comput. Intell. Syst., 2014
Fuzzy Sets Syst., 2014
Reductions of Intuitionistic Fuzzy Covering Systems Based on Discernibility Matrices.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014
2013
Fuzzy concept lattice based on Goguen implication operator and its approximate reasoning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
2012
Measuring Inclusion, Similarity and Compatibility between Atanassov's Intuitionistic Fuzzy Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012
Int. J. Approx. Reason., 2012
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012
2011
Some Mathematical Structures of Generalized Rough Sets in Infinite Universes of Discourse.
Trans. Rough Sets, 2011
Soft Comput., 2011
Int. J. Mach. Learn. Cybern., 2011
Int. J. Model. Identif. Control., 2011
The Construction of Fuzzy Concept Lattices Based on (θ, σ)-Fuzzy Rough Approximation Operators.
Fundam. Informaticae, 2011
Attribute reduction based on generalized fuzzy evidence theory in fuzzy decision systems.
Fuzzy Sets Syst., 2011
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
2010
Knowl. Based Syst., 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
2009
IEEE Trans. Knowl. Data Eng., 2009
IEEE Trans. Fuzzy Syst., 2009
Fuzzy Concept Lattices Determined by (theta, sigma)-Fuzzy Rough Approximation Operators.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009
2008
A rough set approach for the discovery of classification rules in interval-valued information systems.
Int. J. Approx. Reason., 2008
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008
An Interpretation of Belief Functions on Infinite Universes in the Theory of Rough Sets.
Proceedings of the Rough Sets and Current Trends in Computing, 2008
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
2007
Int. J. Geogr. Inf. Sci., 2007
Proceedings of the Rough Sets, 2007
2006
Knowledge Reduction in Incomplete Information Systems Based on Dempster-Shafer Theory of Evidence.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
2005
Knowledge reduction in random information systems via Dempster-Shafer theory of evidence.
Inf. Sci., 2005
Fuzzy Sets Syst., 2005
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005
2004
Inf. Sci., 2004
Inf. Sci., 2004
2003
Int. J. Intell. Syst., 2003
Proceedings of the Rough Sets, 2003
2002
Proceedings of the Advances in Soft Computing, 2002