CCTV cameras installed for continuous surveillance generate enormous amounts of data
daily, forging the term Big Video Data (BVD). The active practice of BVD includes intelligent …

This paper presents an R package FuzzyR which is an extended fuzzy logic toolbox for the
R programming language. FuzzyR is a continuation of the previous Fuzzy R toolboxes such …

Large amounts of collected and stored data require specialized processing skills. However,
a human-computer interaction is crude and far from natural. Users are forced to interact with …

Data obtained from the real-world tends to be uncertain: Measurement inaccuracies,
variability in opinions, and human errors are just some of the reasons that make the …

Constrained interval type-2 (CIT2) fuzzy sets are a class of type-2 fuzzy sets that has been
recently proposed as a way to extend type-1 membership functions to interval type-2 (IT2) …

Fuzzy logic is an accepted and well-developed approach for constructing verbal models.
Fuzzy based methods are getting more popular, while the engineers deal with more daily life …

In many data domains, such as engineering and medical diagnostics, the inherent
uncertainty within datasets is a critical factor that must be addressed during decision-making …

The practice of distributing software as open-source, which serves as a pillar for Open
Science, can benefit future research in the field of fuzzy logic by enabling access and …

Uncertainty is an essential feature of many concepts, data sets, and operations encountered
in various applications related to computer science and engineering, and medical …

Commercial driving is a complex multifaceted task influenced by personal traits and external
contextual factors, such as weather, traffic, road conditions, etc. Previous intelligent …