In addition to the increasing population and rapid urbanization, the amount and variety of
medical waste are rapidly increasing due to the coronavirus disease (COVID-19) pandemic …

This paper proposes a novel Deep Belief Network (DBN) architecture, the 'Interval Type-2
Fuzzy DBN (IT2FDBN)', which models the weights and biases with IT2 FSs. Thus, it …

This article proposes an efficient intelligent control structure for uncertain nonlinear systems.
This controller is a new self-organizing fuzzy cerebellar model articulation controller …

The major bottleneck in microarray gene expression analysis is the lack of techniques
required to cope up with the uncertain gene functionality and inherent complex gene …

Over the last few years, Big Data has gained a tremendous attention from the research
community. The data being generated in huge quantity from almost every field is …

Industrial systems usually draw huge energy to run various machines. The amount of energy
requirement has again increased due to the automation of the industrial plants to make them …

In wireless sensor networks (WSNs), it is critical to design an advisable transmission power
allocation strategy for balancing the latency and energy efficiency, and prolonging the …

Within the aspect of big data, veracity refers to the existing uncertainty in the dataset. The
continuous flow of unstructured data with unwanted noise may bring abnormality in the …

The classical TODIM considers the crisp numbers to handle the information. However, in a
real-world applicative context, this information is bounded by noise and vagueness and …

Abstract Whereas type-1 and type-2 membership functions (MFs) are the core of any fuzzy
logic system, there are no performance criteria available to evaluate the goodness or …