21 citations · 29 across the 6 of their papers we have counts for
7 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…
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng +3
In practical scenarios, time series forecasting necessitates not only accuracy but also efficiency. Consequently, the exploration of model architectures remains a perennially trend…
Random Walk in Random Permutation Set Theory
Jiefeng Zhou, Zhen Li, Yong Deng
Random walk is an explainable approach for modeling natural processes at the molecular level. The Random Permutation Set Theory (RPST) serves as a framework for uncertainty reasoni…
Limit of the Maximum Random Permutation Set Entropy
Jiefeng Zhou, Zhen Li, Kang Hao Cheong +1
The Random Permutation Set (RPS) is a new type of set proposed recently, which can be regarded as the generalization of evidence theory. To measure the uncertainty of RPS, the entr…
Random Graph Set and Evidence Pattern Reasoning Model
Tianxiang Zhan, Zhen Li, Yong Deng
Evidence theory is widely used in decision-making and reasoning systems. In previous research, Transferable Belief Model (TBM) is a commonly used evidential decision making model,…
Learnable WSN Deployment of Evidential Collaborative Sensing Model
Ruijie Liu, Tianxiang Zhan, Zhen Li +1
In wireless sensor networks (WSNs), coverage and deployment are two most crucial issues when conducting detection tasks. However, the detection information collected from sensors i…
Attribute Fusion-based Evidential Classifier on Quantum Circuits
Hao Luo, Qianli Zhou, Lipeng Pan +2
Dempster-Shafer Theory (DST) as an effective and robust framework for handling uncertain information is applied in decision-making and pattern classification. Unfortunately, its re…