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An optimized fuzzy deep learning model for data classification based on NSGA-II
As a powerful paradigm, deep learning (DL) models have been used in many applications
for classification tasks in images, text, and audio. Through DL models, we can learn task …
for classification tasks in images, text, and audio. Through DL models, we can learn task …
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion
Multi-view clustering (MVC) has attached extensive attention as it provides an effective
approach to deal with the unlabeled data in real-world applications. To enjoy the strong …
approach to deal with the unlabeled data in real-world applications. To enjoy the strong …
Three-way clustering: Foundations, survey and challenges
Clustering, as an unsupervised data mining technique, allows us to classify similar objects
into the same cluster according to certain criteria. It helps us identify patterns between …
into the same cluster according to certain criteria. It helps us identify patterns between …
Early identification of diffusion source in complex networks with evidence theory
The inferring of source in the aftermath of a pandemic outbreak has received immense
attention due to its substantial practical potential. In light of the inaccessibility to the status of …
attention due to its substantial practical potential. In light of the inaccessibility to the status of …
M3W: Multistep three-way clustering
Three-way clustering has been an active research topic in the field of cluster analysis in
recent years. Some efforts are focused on the technique due to its feasibility and rationality …
recent years. Some efforts are focused on the technique due to its feasibility and rationality …
Three-way decision method based on triangular norms in incomplete information systems and its applications in medical diagnosis
Y Tang, J Qiao - Applied Soft Computing, 2024 - Elsevier
Three-way decision, as an extension of traditional two-way decision, was proposed by Yao
in 2009, which can effectively avoid unnecessary losses caused by incorrect decisions in the …
in 2009, which can effectively avoid unnecessary losses caused by incorrect decisions in the …
A generalized divergence of information volume and its applications
Dempster–Shafer evidence theory provides a powerful method for the expression and fusion
of uncertain information. When handling the high conflict information, traditional Dempster …
of uncertain information. When handling the high conflict information, traditional Dempster …
Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis
J ** robust and cost-effective detection methods using …