Minghao Chen

Affiliations:
  • Harbin Institute of Technology, Harbin, China


According to our database1, Minghao Chen authored at least 16 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2022
Multigranulation double-quantitative decision-theoretic rough sets based on logical operations.
Int. J. Mach. Learn. Cybern., 2022

2021
On local multigranulation covering decision-theoretic rough sets.
J. Intell. Fuzzy Syst., 2021

2020
The structure stability of periodic solutions for first-order uncertain dynamical systems.
Fuzzy Sets Syst., 2020

2019
Tensor extreme learning design via generalized Moore-Penrose inverse and triangular type-2 fuzzy sets.
Neural Comput. Appl., 2019

Double-quantitative multigranulation decision-theoretic rough fuzzy set model.
Int. J. Mach. Learn. Cybern., 2019

Decision-theoretic rough set in lattice-valued decision information system.
J. Intell. Fuzzy Syst., 2019

A Decision-Theoretic Rough Set Approach to Lattice-Valued Information System.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018
Uniform Design-Based Interval Type-2 Neuro-fuzzy System and Its Performance Verification.
Int. J. Fuzzy Syst., 2018

Double-quantitative decision-theoretic approach to multigranulation approximate space.
Int. J. Approx. Reason., 2018

A fast analytical approximation type-reduction method for a class of spiked concave type-2 fuzzy sets.
Int. J. Approx. Reason., 2018

Fuzzy differential equations for universal oscillators.
Fuzzy Sets Syst., 2018

Dynamic Computing Rough Approximations for Variable Granular Structure Lattice-Valued Decision Systems.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
Dynamics and topological entropy for Zadeh's extension of a compact system.
Fuzzy Sets Syst., 2017

Some properties of solutions for a class of semi-linear uncertain dynamical systems.
Fuzzy Sets Syst., 2017

Dynamic computing rough approximations approach to time-evolving information granule interval-valued ordered information system.
Appl. Soft Comput., 2017

2016
Constructing optimized interval type-2 TSK neuro-fuzzy systems with noise reduction property by quantum inspired BFA.
Neurocomputing, 2016


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