Chao Wang

According to our database, Chao Wang authored at least 24 papers between 2009 and 2024.

Collaborative distances:

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

2024

Corrections to "Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS".

Chao Wang, Jiaxin Shi, Yang Yang, Rui Wang

IEEE Access, 2024

Fast and De-noise Instance Selection Method for SVMs Training Based on Clustering and Intuitionistic Fuzzy Number.

Chao Wang, Xin Dong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2020

Group decision making with incomplete intuitionistic multiplicative preference relations.

Zhiming Zhang, Shyi-Ming Chen, Chao Wang

Inf. Sci., 2020

Group decision making based on multiplicative consistency and consensus of fuzzy linguistic preference relations.

Zhiming Zhang, Shyi-Ming Chen, Chao Wang

Inf. Sci., 2020

2019

A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information.

Chunqin Zhang, Chao Wang, Zhiming Zhang, Dazeng Tian

J. Ambient Intell. Humaniz. Comput., 2019

2018

Credibility support vector machines based on fuzzy outputs.

Chao Wang, Xiaowei Liu, Minghu Ha, Ting Zhao

Soft Comput., 2018

2017

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

Minghu Ha, Yang Yang, Chao Wang

J. Intell. Manuf., 2017

2016

Corrigendum to "Multi-criteria group decision making with incomplete hesitant fuzzy preference relations" [Appl. Soft Comput. 36(2015) 1-23].

Zhiming Zhang, Chao Wang, Xuedong Tian

Appl. Soft Comput., 2016

2015

A decision support model for group decision making with hesitant fuzzy preference relations.

Zhiming Zhang, Chao Wang, Xuedong Tian

Knowl. Based Syst., 2015

A mathematical model of ternary fuzzy set for voting.

Chao Wang, Minghu Ha, Xiaowei Liu

J. Intell. Fuzzy Syst., 2015

A Consensus Model for Group Decision Making with Hesitant Fuzzy Information.

Zhiming Zhang, Chao Wang, Xuedong Tian

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Multi-criteria group decision making with incomplete hesitant fuzzy preference relations.

Zhiming Zhang, Chao Wang, Xuedong Tian

Appl. Soft Comput., 2015

2014

A new information security risk analysis method based on membership degree.

Jiqang Chen, Witold Pedrycz, Litao Ma, Chao Wang

Kybernetes, 2014

A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality.

Jiqiang Chen, Litao Ma, Chao Wang, Hong Zhang, Jie Wan

J. Appl. Math., 2014

Induced generalized hesitant fuzzy operators and their application to multiple attribute group decision making.

Zhiming Zhang, Chao Wang, Dazeng Tian, Kai Li

Comput. Ind. Eng., 2014

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

2011

Intuitionistic fuzzy random variables.

Chao Wang, Minghu Ha, Yijun Fan, Jiqiang Chen

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

Dynamic threshold algorithm for removal of Back-to-Front noises of visual document image.

Da-Zeng Tian, Chao Wang, Zhiming Zhang

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

An Improved Algorithm of Unbalanced Data SVM.

Bing Zhou, Minghu Ha, Chao Wang

Proceedings of the Fuzzy Information and Engineering 2010, 2010

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