Multicriteria decision making (MCDM) has become one of the most frequently applied
decision making methodologies in various fields. However, uncertainty is inevitably involved …

In many engineering problems, the systems dynamics are uncertain, and then, the accurate
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …

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 …

Remote monitoring is an important application of intelligent transportation systems (ITSs).
The combination of monitoring equipment and tracking algorithms can be used to …

In this paper, to compute the firing strength values of type-2 fuzzy models, a soft version of
minimum is presented, which endows the fuzzy model with the ability to solve large …

We are observing more often extreme climate incidents because of global warming. There is
a dire requirement for governments, enterprises, the overall population, and academics to …

The prediction of time series has both the theoretical value and practical significance in
reality. However, since the high nonlinear and noises in the time series, it is still an open …

Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

Green supplier selection (GSS) plays a significant role in promoting enterprise development.
Quality function deployment (QFD) ensures that green supplier assessment criteria are in …

This article proposes a new multiobjective optimization approach for designing a self-
generated interpretable fuzzy logic system (FLS). The types of fuzzy sets (FSs) can be …