5 papers
Evidential Information Fusion on Possibilistic Structure
Qianli Zhou, Ye Cui, Zhen Li +2
Dempster's rule is a fundamental tool for combining belief functions from distinct and reliable sources. However, its intersection-based semantics imposes strong structural restric…
MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering
Zeqiang Xian, Caihui Liu, Yong Zhang +3
Existing granular-ball generation methods are still mainly driven by handcrafted quality measures and heuristic splitting or stopping criteria, which may weaken the transparency of…
A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
Zeqiang Xian, Caihui Liu, Yong Zhang +3
Existing granular-ball classification methods are often driven by handcrafted quality measures, neighborhood rules, or heuristic splitting and stopping criteria, which may reduce t…
Clustering-based Anomaly Detection in Multivariate Time Series Data
Jinbo Li, Hesam Izakian, Witold Pedrycz +1
Multivariate time series data come as a collection of time series describing different aspects of a certain temporal phenomenon. Anomaly detection in this type of data constitutes…
Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
Jinbo Li, Witold Pedrycz, Iqbal Jamal
In this study, we develop an approach to multivariate time series anomaly detection focused on the transformation of multivariate time series to univariate time series. Several tra…