Minghu Ha

发表

Comprehensive evaluation model for coal mine safety based on uncertain random variables

Hong Zhang, Chao Wang, Jiqiang Chen, 2014 .

The Key Theorem of Learning Theory on Uncertainty Space

Chao Wang, Minghu Ha, Shujing Yan, 2009, ISNN.

Implementation of rough fuzzy k-means clustering algorithm in Matlab

Jing Wu, Minghu Ha, Jun-Hao Zhang, 2010, 2010 International Conference on Machine Learning and Cybernetics.

On the null-additivity of the fuzzy measure

Xiaoping Xue, Congxin Wu, Minghu Ha, 1996, Fuzzy Sets Syst..

A portfolio optimization model for minimizing soft margin-based generalization bound

Chao Wang, Minghu Ha, Yang Yang, 2017, J. Intell. Manuf..

A novel support vector machine with its features weighted by mutual information

Bao-Gang Hu, Hong-Jie Xing, Minghu Ha, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Rough Set Model Based on Limited Similarity Dominance Relation

Xia Zhao, Yuqing Gao, Minghu Ha, 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

Notes on Riesz's theorem on fuzzy measure space

Xizhao Wang, Xizhao Wang, Minghu Ha, 1997, Fuzzy Sets Syst..

A comparative experimental study of feature-weight learning approaches

Xizhao Wang, Hong-Jie Xing, Minghu Ha, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

A Development of Inclusion-degree-based Rough Fuzzy Random Sets

Witold Pedrycz, Minghu Ha, Aiquan Zhang, 2008, Fundam. Informaticae.

Support function machine for set-based classification with application to water quality evaluation

Qinghua Hu, Xiaoping Xue, Jiqiang Chen, 2017, Inf. Sci..

Laws of large numbers for uncertain variables

Minghu Ha, Lanzhen Yang, Minghu Ha, 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.

An Improved Algorithm of Optical Formula Extraction with Fuzzy Classification

Minghu Ha, Xue-dong Tian, 2008, Int. J. Pattern Recognit. Artif. Intell..

Possibility measure based fuzzy support function machine for set-based fuzzy classifications

Qinghua Hu, Xiaoping Xue, Jiqiang Chen, 2019, Inf. Sci..

An On-Line Multi-CBR Agent Dispatching Algorithm

Xizhao Wang, Yan Li, Minghu Ha, 2007, Soft Comput..

Constructing composite search directions with parameters in quadratic interpolation models

Yan Li, Qinghua Zhou, Minghu Ha, 2011, J. Glob. Optim..

Sequences of (S) fuzzy integrable functions

Xizhao Wang, Yan Li, Minghu Ha, 2003, Fuzzy Sets Syst..

The theoretical fundamentals of learning theory based on fuzzy complex random samples

Witold Pedrycz, Minghu Ha, Lifang Zheng, 2009, Fuzzy Sets Syst..

Fuzzy knowledge representation and reasoning using a generalized fuzzy petri net and a similarity measure

Yan Li, Xiao-Feng Wang, Minghu Ha, 2007, Soft Comput..

Set-valued samples based support vector regression and its applications

Witold Pedrycz, Jiqiang Chen, Litao Ma, 2015, Expert Syst. Appl..

The key theorem of learning theory based on hybrid variable

Chao Wang, Minghu Ha, Da-Zeng Tian, 2011, 2011 International Conference on Machine Learning and Cybernetics.

Sugeno rough set model under the fuzzy relation

Minghu Ha, Shu-Xiang Wei, Yao-Feng Liu, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Reliable location allocation for hazardous materials

Lean Yu, Xiang Li, Changjing Shang, 2019, Inf. Sci..

The Bounds on the Rate of Uniform Convergence of Learning Process on Uncertainty Space

Jing Wu, Chao Wang, Minghu Ha, 2009, ISNN.

Some theoretical results of learning theory based on random sets in set-valued probability space

Witold Pedrycz, Jiqiang Chen, Minghu Ha, 2009, Kybernetes.

An On-line Multi-CBR Agent Dispatching Algorithm

Xizhao Wang, Yan Li, Minghu Ha, 2006, Soft Comput..

The key theorem and the bounds on the rate of uniform convergence of learning theory on Sugeno measure space

Yan Li, Jia Li, Minghu Ha, 2006, Science in China Series F.

A new support vector machine based on type-2 fuzzy samples

Chao Wang, Minghu Ha, Yang Yang, 2013, Soft Comput..

Some notes on the regularity of fuzzy measures on metric spaces

Xizhao Wang, Minghu Ha, 1997, Fuzzy Sets Syst..

An Improved Algorithm of Unbalanced Data SVM

Chao Wang, Bing Zhou, Minghu Ha, 2010, ACFIE.

Iteration algorithms for solving a system of fuzzy linear equations

Xizhao Wang, Minghu Ha, Zimian Zhong, 2001, Fuzzy Sets Syst..

Optimization of water allocation decisions under uncertainty: the case of option contracts

Minghu Ha, Zhichao Gao, 2017, J. Ambient Intell. Humaniz. Comput..

The support vector machine based on intuitionistic fuzzy number and kernel function

Chao Wang, Jiqiang Chen, Minghu Ha, 2013, Soft Comput..

Bounds on the rate of convergence of learning processes based on random sets and set-valued probability

Witold Pedrycz, Lu Sun, Jiqiang Chen, 2011, Kybernetes.

The expected value models on Sugeno measure space

Witold Pedrycz, Hong Zhang, Hong-Jie Xing, 2009, Int. J. Approx. Reason..

Minghu Ha, Lanzhen Yang, Minghu Ha, 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

Inexact Multistage Stochastic Chance Constrained Programming Model for Water Resources Management under Uncertainties

Hongyu Zhao, Hong Zhang, Minghu Ha, 2017, Sci. Program..

Separability of set-valued data sets and existence of support hyperplanes in the support function machine

Xiaoping Xue, Jiqiang Chen, Litao Ma, 2018, Inf. Sci..

Intuitionistic fuzzy random variables

Chao Wang, Jiqiang Chen, Minghu Ha, 2011, 2011 International Conference on Machine Learning and Cybernetics.

Chance-constrained programming on sugeno measure space

Hong Zhang, Hong-Jie Xing, Minghu Ha, 2011, Expert Syst. Appl..

Credibility support vector machines based on fuzzy outputs

Xiaowei Liu, Chao Wang, Ting Zhao, 2018, Soft Comput..

Fundamental convergence of sequences of measurable functions on fuzzy measure space

Xizhao Wang, Congxin Wu, Minghu Ha, 1998, Fuzzy Sets Syst..

A mathematical model of ternary fuzzy set for voting

Xiaowei Liu, Chao Wang, Minghu Ha, 2015, J. Intell. Fuzzy Syst..

Optical Font Recognition of Chinese Characters Based on Texture Features

Minghu Ha, Xue-dong Tian, Xue-dong Tian, 2005, ICMLC.

The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples

Witold Pedrycz, Chao Wang, Minghu Ha, 2010, LSMS/ICSEE.

Note on maxmin μ/E estimation

Xizhao Wang, Minghu Ha, Xizhao Wang, 1998, Fuzzy Sets Syst..

Fuzzy support vector machine based on non-equilibrium data

Minghu Ha, Da-Zeng Tian, Gui-Bing Peng, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Further improvements in Feature-Weighted Fuzzy C-Means

Hong-Jie Xing, Minghu Ha, Hong-Jie Xing, 2014, Information Sciences.

Intuitionistic fuzzy Riemann integral

Minghu Ha, Lanzhen Yang, Minghu Ha, 2009, 2009 Chinese Control and Decision Conference.