The fractal property is one of the most important properties in complex networks. It describes
the power law relationship between characteristics of the box and the box size. There are …

In artificial intelligence systems, a question on how to express the uncertainty in knowledge
remains an open issue. The negation scheme provides a new perspective to solve this …

Multisource information fusion (MSIF) technologies play an important role in various fields
and practical applications. As a useful methodology to represent and handle uncertain …

Uncertainty is inevitable in the decision-making process of real applications. Quantum
mechanics has become an interesting and popular topic in predicting and explaining human …

Given a probability distribution, its corresponding information volume is Shannon entropy.
However, how to determine the information volume of a given mass function is still an open …

Abstract Information quality has attracted increasing attention in recent years. In this paper,
we propose a measure to quantify the information quality of intuitionistic fuzzy information …

The existing deep networks have shown excellent performance in remote sensing scene
classification (RSSC), which generally requires a large amount of class-balanced training …

Few-shot learning in image classification is developed to learn a model that aims to identify
unseen classes with only few training samples for each class. Fewer training samples and …

As a generation of fuzzy sets, intuitionistic fuzzy sets (IFSs) have a more powerful ability to
represent and address the uncertainty of information. Therefore, IFSs have been used in …

Fuzzy complex event processing-based decision-making systems have received
considerable research interests recently. In particular, a well-managed operator distribution …