Ausgabe 3/2022
New trends on Machine Learning applied to Information Processing under Uncertainty
Inhalt (17 Artikel)
Editorial: New trends on machine learning applied to information processing under uncertainty
Li Zou, Luis Martínez, Jun Liu, Xiaoping Qiu, Xingxing He
Group decision making for internet public opinion emergency based upon linguistic intuitionistic fuzzy information
Yi Liu, Guiwu Wei, Haobin Liu, Lei Xu
q-ROF-SIR methods and their applications to multiple attribute decision making
Hua Zhu, Jianbin Zhao, Hua Li
Novel fusion strategies for continuous interval-valued q-rung orthopair fuzzy information: a case study in quality assessment of SmartWatch appearance design
Yi Yang, Zhen-Song Chen, Rosa M. Rodríguez, Witold Pedrycz, Kwai-Sang Chin
A novel multiple attribute decision-making approach for evaluation of emergency management schemes under picture fuzzy environment
Yuan Rong, Yi Liu, Zheng Pei
Multi-view document clustering based on geometrical similarity measurement
Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Ahmed Saad Hussein
Multi-view data clustering via non-negative matrix factorization with manifold regularization
Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Hongjun Wang
Steadiness analysis of means-end conceptual paths and problem-chains based on concept lattices and similarity measuring
Lankun Guo, Zhenhua Jia, Qingguo Li, Jianhua Dai
Biomedical event trigger extraction based on multi-layer residual BiLSTM and contextualized word representations
Hao Wei, Ai Zhou, Yijia Zhang, Fei Chen, Wen Qu, Mingyu Lu
Imbalanced data classification based on diverse sample generation and classifier fusion
Junhai Zhai, Jiaxing Qi, Sufang Zhang
Sustainable competitiveness evaluation of container liners based on granular computing and social network group decision making
Xueqin Liu, Yanjun Wang, Lidong Wang
Data reduction based on NN-kNN measure for NN classification and regression
Shuang An, Qinghua Hu, Changzhong Wang, Ge Guo, Piyu Li
MGPOOL: multi-granular graph pooling convolutional networks representation learning
Zhenghua Xin, Guolong Chen, Jie Chen, Shu Zhao, Zongchao Wang, Aidong Fang, Zhenggao Pan, Lin Cui
Stochastic configuration broad learning system and its approximation capability analysis
Wei Zhou, Degang Wang, Hongxing Li, Menghong Bao
Enhancing extended belief rule-based systems for classification problems using decomposition strategy and overlap function
Long-Hao Yang, Jun Liu, Ying-Ming Wang, Hui Wang, Luis Martínez
Emotion-enhanced classification based on fuzzy reasoning
Ruiteng Yan, Yan Yu, Dong Qiu