A5100616362- Rough Sets and Fuzzy Logic
- Multi-Criteria Decision Making
- Data Mining Algorithms and Applications
- Text and Document Classification Technologies
- Data Management and Algorithms
- Advanced Computational Techniques and Applications
- Statistical and Computational Modeling
- Imbalanced Data Classification Techniques
- Evaluation and Optimization Models
- Chinese history and philosophy
- Advanced Algebra and Logic
- History of Science and Medicine
- History and Theory of Mathematics
- Extenics and Innovation Methods
- Efficiency Analysis Using DEA
- Bayesian Modeling and Causal Inference
- Natural Language Processing Techniques
- Diverse Historical and Scientific Studies
- Recommender Systems and Techniques
- Optimization and Mathematical Programming
- Sentiment Analysis and Opinion Mining
- Economic and Environmental Valuation
- Grouting, Rheology, and Soil Mechanics
- Image Retrieval and Classification Techniques
- Building materials and conservation
Southwest Jiaotong University
2016-2025
Southwestern University of Finance and Economics
2024
Southwest University
2024
Hefei University of Technology
2024
Science and Technology Department of Sichuan Province
2021-2023
Chinese Academy of Sciences
2004-2023
Northwest A&F University
2023
Institute of Soil and Water Conservation
2023
Institute of Optics and Electronics, Chinese Academy of Sciences
2020-2023
Wuhan Institute of Technology
2022
Decision-theoretic rough sets (DTRSs) play a crucial role in risk decision-making problems. With respect to the minimum expected risk, DTRSs deduce rules of three-way decisions. Considering new expression evaluation information with hesitant fuzzy (HFSs), we introduce HFSs into and explore their decision mechanisms. More specifically, take account losses elements propose model decision-theoretic (HFDTRSs). Some properties corresponding scores are carefully investigated under information....
The decision-theoretic rough set model is adopted to derive a profit-based three-way approach investment decision-making. A decision made based on pair of thresholds conditional probabilities. positive rule makes investment, negative noninvestment, and boundary deferment. Both cost functions revenue are used calculate the required two by maximizing profit with Bayesian procedure. case study oil demonstrates proposed method.
Approximations of a concept in rough set theory induce rules and need to update for dynamic data mining related tasks. Most existing incremental methods based on the classical model can only be used deal with categorical data. This paper presents new method incrementally updating approximations under neighborhood sets numerical A comparison proposed nonincremental maintenance is conducted by an extensive experimental evaluation different from UCI. Experimental results show that effectively...
By considering the risks in policy making procedure, a three-way decision approach based on decision-theoretic rough set model is adopted to risk government decision-making. A made pair of thresholds conditional probabilities. positive rule makes executing, negative non-executing, and boundary deferment. The loss functions are used calculate required two describe with Bayesian procedure. case study petroleum investment demonstrates proposed method.