Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in
current research and industrial applications. Processing massive amounts of data generated …

In this article, we have developed an improved failure mode and effect analysis (FMEA)
model by leveraging the concepts of Z-number, rough number (RN), and probabilistic …

Compared to the traditional two-way decision making, three-way decision model with a third
pending decision has been widely applied since it was put forward. Now it has become a …

Kolkata has a reputation for being one of the world's most polluted cities, particularly in the
post-monsoon months of October, November, and December. Diwali, a Hindu festival …

This chapter provides a survey of different metaheuristic machine learning algorithms used
for various interesting research problems in the domain of social networks and big data. It …

The interpretability of prediction models is very important for decision management. The vast
majority of existing prediction analysis models based on rough set theory lack a certain …

Predictive analysis is vital for decision management especially when involving in multiple
attributes information systems. The correlation between attributes reflects that there exists a …

Face-on-Face interaction constitutes an integral part of the classroom atmosphere as it
provides teachers with an opportunity to understand their students intimately. Hence, this …

In this paper a robust consensus-based ensemble assisted multi-feature learnt social media
link prediction model is developed. Unlike classical methods, a multi-level enhancement …

The information analysis of the electroencephalogram (EEG) signal is carried out by
granulation and reciprocal entropy (PeEn). The analysis of the EEG signal is obtained by …