The purpose of the present work is to survey the dissimilarity measures defined so far in the
mathematical framework of evidence theory, and to propose a classification of these …

Neighbourhoods of precise probabilities are instrumental to perform robustness analysis, as
they rely on very few parameters. In the first part of this study, we introduced a general …

The estimation of the conditional failure rate (CFR) of an overhead transmission line (OTL) is
essential for power system operational reliability assessment. It is hard to predict the CFR …

Transformer fault diagnosis is important for improving the operational reliability of power
systems. Despite great efforts to enhance the accuracy of fault diagnosis, the precise …

Coherent lower probabilities are one of the most general tools within Imprecise Probability
Theory, and can be used to model the available information about an unknown or partially …

This paper addresses the issue of measuring similarity between pieces of uncertain
information in the framework of possibility theory. In a first part, natural properties of such …

Combining pieces of information provided by several sources without or with little prior
knowledge about the behavior of the sources is an old yet still important and rather open …

Quantifying the failure risk of traction power supply equipment (TPSE) is of significant
importance to the safe and stable operation of the traction power supply system. This paper …

In this paper it is considered the problem of discounting a credal set of probability
distributions by a factor α α representing a degree of unreliability of the information source …

This paper investigates the problem of measuring the similarity degree between two
normalized possibility distributions encoding preferences or uncertain knowledge. In a first …