Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

This paper proposes a pixel-wise convolutional neural network (p-CNN) that can recognize
the focused and defocused pixels in source images from its neighbourhood information for …

How to manage conflict is still an open issue in Dempster–Shafer (DS) evidence theory. The
conflict coefficient k in DS evidence theory cannot represent conflict reasonably, especially …

Condition monitoring and fault diagnosis are of significance to improve the safety and
reliability of motors, given their widespread applications in virtually every branch of the …

Because of the advantages of graphs in visualizing the relationship between individuals,
complex networks have been widely used and greatly developed. In real-world applications …

A set of ordered propositions describe the different intensities of a characteristic of an object,
the intensities increase or decrease gradually. A basic support function is a set of truth …

The conflict problem in D‐S evidence theory has attracted the attention of many scholars.
Conflict coefficients are proposed to describe conflicts between bodies of evidence. The …

Many relations in the real world can be described by mathematical language. Fuzzy set
theory can transform human language into mathematical language and use membership …

Traditional Bayesian network (BN) model is established by crisp sets and probabilities, and
its effectiveness and applicability are restricted. In order to solve this problem, a new BN …

Fusing conflict evidences is one of the fundamental needs to data fusion, but this task is
challenging in the decision-making domain because of the fusion of ever-increasing …