Minghu Ha

According to our database, Minghu Ha authored at least 49 papers between 1996 and 2020.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2020

Tripled fuzzy metric spaces and fixed point theorem.

Jingfeng Tian, Ming-Hu Ha, Da-Zeng Tian

Inf. Sci., 2020

2019

An Additive-Consistency- and Consensus-Based Approach for Uncertain Group Decision Making With Linguistic Preference Relations.

Jingfeng Tian, Zhiming Zhang, Ming-Hu Ha

IEEE Trans. Fuzzy Syst., 2019

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

Jiqiang Chen, Qinghua Hu, Xiaoping Xue, Minghu Ha, Litao Ma, Xuchang Zhang, Zhipeng Yu

Inf. Sci., 2019

2018

Credibility support vector machines based on fuzzy outputs.

Chao Wang, Xiaowei Liu, Minghu Ha, Ting Zhao

Soft Comput., 2018

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

Jiqiang Chen, Xiaoping Xue, Litao Ma, Minghu Ha

Inf. Sci., 2018

2017

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

Minghu Ha, Yang Yang, Chao Wang

J. Intell. Manuf., 2017

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

Minghu Ha, Zhichao Gao

J. Ambient Intell. Humaniz. Comput., 2017

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

Jiqiang Chen, Qinghua Hu, Xiaoping Xue, Minghu Ha, Litao Ma

Inf. Sci., 2017

2015

A mathematical model of ternary fuzzy set for voting.

Chao Wang, Minghu Ha, Xiaowei Liu

J. Intell. Fuzzy Syst., 2015

Set-valued samples based support vector regression and its applications.

Jiqiang Chen, Witold Pedrycz, Minghu Ha, Litao Ma

Expert Syst. Appl., 2015

2013

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

Minghu Ha, Yang Yang, Chao Wang

Soft Comput., 2013

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

Minghu Ha, Chao Wang, Jiqiang Chen

Soft Comput., 2013

Quadratic entropy of uncertain sets.

Xiaosheng Wang, Minghu Ha

Fuzzy Optim. Decis. Mak., 2013

2012

Fuzzy support vector machine based on non-equilibrium data.

Da-Zeng Tian, Gui-Bing Peng, Minghu Ha

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

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

Minghu Ha, Jiqiang Chen, Witold Pedrycz, Lu Sun

Kybernetes, 2011

Constructing composite search directions with parameters in quadratic interpolation models.

Qinghua Zhou, Yan Li, Minghu Ha

J. Glob. Optim., 2011

A comparative experimental study of feature-weight learning approaches.

Hong-Jie Xing, Xizhao Wang, Minghu Ha

Proceedings of the IEEE International Conference on Systems, 2011

Intuitionistic fuzzy random variables.

Chao Wang, Minghu Ha, Yijun Fan, Jiqiang Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

The key theorem of learning theory based on hybrid variable.

Xiao-Jing Sun, Chao Wang, Minghu Ha, Da-Zeng Tian

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

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

Minghu Ha, Chao Wang, Witold Pedrycz

Proceedings of the Life System Modeling and Intelligent Computing, 2010

Sugeno rough set model under the fuzzy relation.

Shu-Xiang Wei, Minghu Ha, Yao-Feng Liu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

An Improved Algorithm of Unbalanced Data SVM.

Bing Zhou, Minghu Ha, Chao Wang

Proceedings of the Fuzzy Information and Engineering 2010, 2010

2009

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

Minghu Ha, Witold Pedrycz, Jiqiang Chen, Lifang Zheng

Kybernetes, 2009

The expected value models on Sugeno measure space.

Minghu Ha, Hong Zhang, Witold Pedrycz, Hong-Jie Xing

Int. J. Approx. Reason., 2009

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

Minghu Ha, Witold Pedrycz, Lifang Zheng

Fuzzy Sets Syst., 2009

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

Xiankun Zhang, Minghu Ha, Jing Wu, Chao Wang

Proceedings of the Advances in Neural Networks, 2009

The Key Theorem of Learning Theory on Uncertainty Space.

Shujing Yan, Minghu Ha, Xiankun Zhang, Chao Wang

Proceedings of the Advances in Neural Networks, 2009

2008

The theoretical foundations of statistical learning theory based on fuzzy number samples.

Ming-Hu Ha, Jing Tian

Inf. Sci., 2008

An Improved Algorithm of Optical Formula Extraction with Fuzzy Classification.

Minghu Ha, Xuedong Tian

Int. J. Pattern Recognit. Artif. Intell., 2008

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

Minghu Ha, Witold Pedrycz, Aiquan Zhang, Yijun Fan

Fundam. Informaticae, 2008

On the properties of sequences of fuzzy-valued Choquet integrable functions.

Rui-Sheng Wang, Ming-Hu Ha

Fuzzy Optim. Decis. Mak., 2008

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

Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu

Proceedings of the International Joint Conference on Neural Networks, 2008

Rough Set Model Based on Limited Similarity Dominance Relation.

Yuqing Gao, Minghu Ha, Xia Zhao, Chunjing Li

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Support Vector Machines Based on Sectional Set Fuzzy K-Means Clustering.

Li-juan Ma, Ming-Hu Ha

Proceedings of the Fuzzy Information and Engineering, 2008

2007

An On-Line Multi-CBR Agent Dispatching Algorithm.

Yan Li, Xizhao Wang, Minghu Ha

Soft Comput., 2007

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

Minghu Ha, Yan Li, Xiao-Feng Wang

Soft Comput., 2007

Sequences of Fuzzy-Valued Choquet Integrable Functions.

Rui-Sheng Wang, Ming-Hu Ha

Proceedings of the Fuzzy Information and Engineering, 2007

2006

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

Minghu Ha, Yan Li, Jia Li, Da-Zeng Tian

Sci. China Ser. F Inf. Sci., 2006

2005

Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach.

Dongmei Huang, Minghu Ha, Ya-min Li, Eric C. C. Tsang

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Optical Font Recognition of Chinese Characters Based on Texture Features.

Minghu Ha, Xuedong Tian

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

2003

Sequences of (S) fuzzy integrable functions.

Minghu Ha, Xizhao Wang, Lanzhen Yang, Yan Li

Fuzzy Sets Syst., 2003

2001

Iteration algorithms for solving a system of fuzzy linear equations.

Xizhao Wang, Zimian Zhong, Minghu Ha

Fuzzy Sets Syst., 2001

From global weight to fuzzy measure: handling interaction among fuzzy rules.

Daniel S. Yeung, John W. T. Lee, Ming-Hu Ha

Proceedings of the IEEE International Conference on Systems, 2001

1998

Note on maxmin μ/E estimation.

Xizhao Wang, Minghu Ha

Fuzzy Sets Syst., 1998

Fundamental convergence of sequences of measurable functions on fuzzy measure space.

Minghu Ha, Xizhao Wang, Congxin Wu

Fuzzy Sets Syst., 1998

1997

Some notes on the regularity of fuzzy measures on metric spaces.

Minghu Ha, Xizhao Wang

Fuzzy Sets Syst., 1997

Notes on Riesz's theorem on fuzzy measure space.

Minghu Ha, Lixin Cheng, Xizhao Wang

Fuzzy Sets Syst., 1997

1996

On the extension of the fuzzy number measures in Banach spaces: Part I. Representation of the fuzzy number measures.

Xiaoping Xue, Minghu Ha, Congxin Wu

Fuzzy Sets Syst., 1996

On the null-additivity of the fuzzy measure.

Congxin Wu, Minghu Ha, Xiaoping Xue

Fuzzy Sets Syst., 1996