The q-rung orthopair fuzzy set ((ROPFS)-R-q), proposed by Yager, is a more effective and proficient tool to represent uncertain or vague information in real-life situations. Divergence and entropy are two important measures, ...

In this work we propose Bayesian measures to quantify the influence of observationson the structural parameters of the simple measurement error model (MEM). Different influencemeasures, like those based onq-divergence ...

The size of data that we generate every day across the globe is undoubtedly astonishing due to the growth of the Internet of Things. So, it is a common practice to unravel important hidden facts and understand the massive ...

Several quantifiers of information, also known as entropies, have been introduced in different contexts and from different motivations. For almost each one of these entropies, a measure of the loss (or gain) of information ...

Jensen–Shannon divergence is a well known multi-purpose measure of dissimilarity between probability distributions. It has been proven that the square root of this quantity is a true metric in the sense that, in addition ...

Many tropical organisms show large genetic differences among populations, yet the prevalent drivers of the underlying divergence processes are incompletely understood. We explored the effect of several habitat and natural ...