- Multi-Criteria Decision Making
- Rough Sets and Fuzzy Logic
- Bayesian Modeling and Causal Inference
- Neural Networks and Applications
- Time Series Analysis and Forecasting
- Statistical Mechanics and Entropy
- Fault Detection and Control Systems
- Complex Network Analysis Techniques
- Fuzzy Systems and Optimization
- Anomaly Detection Techniques and Applications
- Stock Market Forecasting Methods
- Opinion Dynamics and Social Influence
- Complex Systems and Time Series Analysis
- Forecasting Techniques and Applications
- Geochemistry and Geologic Mapping
- Advanced Decision-Making Techniques
- Heart Rate Variability and Autonomic Control
- Target Tracking and Data Fusion in Sensor Networks
- Image Processing and 3D Reconstruction
- EEG and Brain-Computer Interfaces
- Quantum Information and Cryptography
- Membrane Separation Technologies
- Mental Health Research Topics
- Membrane-based Ion Separation Techniques
- Advanced Statistical Methods and Models
Chongqing University
2021-2024
China University of Mining and Technology
2024
Southwest University
2015-2021
In decision-making systems, how to address uncertainty plays an important role for the improvement of system performance in reasoning. Dempster—Shafer evidence (DSE) theory is effective method problems by means basic belief assignments (BBAs) and Dempster's combination rule. DSE theory, divergence measure between BBAs, which beneficial conflict information management decision making, remains open issue. this paper, several generalized evidential divergences (EDs) are proposed...
Within the framework of evidence theory, confidence functions different information can be combined into a function to solve uncertain problems. The Dempster combination rule is classic method fusing information. This paper proposes similar for time point in series. used fuse growth rate last point, and finally relatively accurate forecast data obtained. Stock price forecasting concern economics. stock large volume, more forecasts are required at same time. methods series, such as ARIMA,...