Fuzzy Set News Today

Extracting information and knowledge from users’ online activity is of great significance for a variety of practical purposes. Yet, existing research suffers from limitations including requiring prior knowledge and poor interpretability. In this study, we develop a novel classification algorithm based on the dual concepts of fuzzy set and sparsity regularization. Specifically, the proposed algorithm introduces two types of fuzzy sets designed to fuzzify samples, then the membership criteria fr...

With the prevalence of smart devices, billions of people are accessing digital resource in their daily life. Online user-behavior modeling, as such, has been actively researched in recent years. However, due to the data uncertainty (sparse-ness and skewness), traditional techniques suffer from certain drawbacks, such as relying on labor-intensive expertise or prior knowledge, lacking of interpretability and transparency, and expensive computational cost. As a step toward bridging the gap, this p...