Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes
From MaRDI portal
Publication:6195424
DOI10.1016/j.ins.2022.06.054MaRDI QIDQ6195424
Wei-Hua Xu, Xiuwei Chen, Xiaoyan Zhang, Weiping Ding
Publication date: 13 March 2024
Published in: Information Sciences (Search for Journal in Brave)
Cites Work
- Unnamed Item
- An interval set model for learning rules from incomplete information table
- Rudiments of rough sets
- Maximal consistent block technique for rule acquisition in incomplete information systems.
- Estimation of a flexible simple linear model for interval data based on set arithmetic
- An information fusion approach by combining multigranulation rough sets and evidence theory
- Off the beaten track: a new linear model for interval data
- Rough set approach to incomplete information systems
- Rules in incomplete information systems
- Dynamic maintenance of rough approximations in multi-source hybrid information systems
- Multi-granulation method for information fusion in multi-source decision information system
- A rough set approach for the discovery of classification rules in interval-valued information systems
- A novel approach to information fusion in multi-source datasets: a granular computing viewpoint
- Incremental updating of rough approximations in interval-valued information systems under attribute generalization
- Rough sets
This page was built for publication: Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes