Abstract Since Dempster–Shafer evidence theory was proposed, it has been widely and
successfully used in many fields including risk analysis, fault diagnosis, wireless sensor …

Multi-sensor data fusion technology plays an important role in real applications. Because of
the flexibility and effectiveness in modeling and processing the uncertain information …

The classical random walk formalism plays an important role in a wide range of applications.
Its quantum counterpart, the quantum walk, is proposed as an important theoretical model …

Many complex systems can be represented as networks consisting of distinct types of
interactions, which can be categorized as links belonging to different layers. For example, a …

Quantum information theory is a branch of science at the frontier of physics, mathematics,
and information science, and offers a variety of solutions that are impossible using classical …

Abstract Interval-Valued Intuitionistic Fuzzy Set (IVIFS) is an effective tool to model
uncertainty, and has received much attention. When applying IVIFS to solve real problems …

The distribution of coherence in multipartite systems is examined. We use a new coherence
measure with entropic nature and metric properties, based on the quantum Jensen …

Jensen-Shannon divergence (JD) is a symmetrized and smoothed version of the most
important divergence measure of information theory, Kullback divergence. As opposed to …

Any physical system can be viewed from the perspective that information is implicitly
represented in its state. However, the quantification of this information when it comes to …

In this paper, we use the quantum Jensen–Shannon divergence as a means of measuring
the information theoretic dissimilarity of graphs and thus develop a novel graph kernel. In …