230 citations · 402 across the 17 of their papers we have counts for
6 papers · 1 filter
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…
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…
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
Yongming He, Guohua Wu, Yingwu Chen +1
There hardly exists a general solver that is efficient for scheduling problems due to their diversity and complexity. In this study, we develop a two-stage framework, in which rein…
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
Kaijie Xu, Witold Pedrycz, Zhiwu Li
Information granules have been considered to be the fundamental constructs of Granular Computing (GrC). As a useful unsupervised learning technique, Fuzzy C-Means (FCM) is one of t…
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams
Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb
Existing FNNs are mostly developed under a shallow network configuration having lower generalization power than those of deep structures. This paper proposes a novel self-organizin…