Semi-monolayer cover rough set: concept, property and granular algorithm
From MaRDI portal
Publication:2198078
DOI10.1016/j.ins.2018.04.066zbMath1440.68302OpenAlexW2799837032WikidataQ129932463 ScholiaQ129932463MaRDI QIDQ2198078
Ning Chen, Yan Gao, Zhengjiang Wu
Publication date: 9 September 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.04.066
granular computingdot-form approximation operatorgranular-form approximation operatorsemi-monolayer cover rough set
Related Items (1)
Cites Work
- Unnamed Item
- An incremental attribute reduction approach based on knowledge granularity under the attribute generalization
- Entropy measures and granularity measures for set-valued information systems
- Covering based rough set approximations
- Relationship between generalized rough sets based on binary relation and covering
- Extensions and intensions in the rough set theory
- Constructive and axiomatic approaches of fuzzy approximation operators.
- Rough set models in multigranulation spaces
- Communication between information systems with covering based rough sets
- Dominance-based rough set approach to incomplete ordered information systems
- Monotonic uncertainty measures for attribute reduction in probabilistic rough set model
- Relationship among basic concepts in covering-based rough sets
- Rough sets
- Rough set theory applied to (fuzzy) ideal theory
This page was built for publication: Semi-monolayer cover rough set: concept, property and granular algorithm