A large community of research has been developed in recent years to analyze social media
and social networks, with the aim of understanding, discovering insights, and exploiting the …

Clustering ensemble, or consensus clustering, has emerged as a powerful tool for improving
both the robustness and the stability of results from individual clustering methods. Weighted …

With the wide applications of wireless sensor networks (WSNs) in various fields, such as
environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust …

Association rule mining (ARM) aims to find out association rules that satisfy predefined
minimum support and confidence from a given database. However, in many cases ARM …

Neutrosophic set, proposed by Smarandache considers a truth membership function, an
indeterminacy membership function and a falsity membership function. Soft set, proposed by …

Over the last few decades, the advance of new technologies in computer equipment,
cameras and medical devices became a starting point for the shape of medical imaging …

The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that
can describe imprecise events using four types of membership grades with no restrictions …

Motivation: Healthcare systems globally face significant resource and financial challenges.
Moreover, these challenges have resulted in an existential paradigm shift driven by:(i) the …

In this paper, we propose a new power-aware routing protocol for Wireless Sensor Network
(WSN) based on the threshold rate and fuzzy logic for improving energy efficiency. The …

In spite of some attempts at improving the quality of the clustering ensemble methods, it
seems that little research has been devoted to the selection procedure within the fuzzy …