Abstract Three-way decisions (3WD) is an important methodology in solving problems with
uncertainty. A systematic analysis on three-way based uncertainty measures is conducive to …

In some real-world situations, Pythagorean fuzzy sets are more powerful and effective than
intuitionistic fuzzy sets to describe vague and uncertain information, and there are many …

This research is among the very few studies seeking a focalized examination on the
relationship between knowledge sharing within a firm and organizational innovation. This …

Triangular fuzzy numbers (TFNs) can not only provide the range of fuzzy points, but contain
the three most representative fuzzy points, which play an essential role in describing fuzzy …

Clustering is a fundamental research field and plays an important role in data analysis. To
better address the relationship between an element and a cluster, a Three-Way clustering …

Spectral clustering is an unsupervised machine learning algorithm that groups similar data
points into clusters. The method generally works by modeling pair-wise data points as input …

Abstract Synthetic Minority Over-sampling Technique (SMOTE) is an effective method for
imbalanced data classification. Many variants of SMOTE have been proposed in the past …

Context-aware video recommender systems (CAVRS) seek to improve recommendation
performance by incorporating contextual features along with the conventional user-item …

Youtube is one of the most popular video sharing online resource that has millions of users
around the world. The huge bulk of videos, which are growing at a high rate is posing …

Data-driven crowd simulation with insightful principles is an open, real-world, and
challenging task. The issues involved in modeling crowd movement so that agents' decision …