A novel approach for efficient updating approximations in dynamic ordered information systems
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Publication:1999016
DOI10.1016/j.ins.2019.08.046zbMath1456.68204OpenAlexW2969865723WikidataQ127355622 ScholiaQ127355622MaRDI QIDQ1999016
Tianqiang Huang, Shu Wang, Jie Hu, Chuan Luo, Tianrui Li, Hamido Fujita
Publication date: 18 March 2021
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2019.08.046
Related Items (7)
Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data ⋮ Incremental updating three-way regions with variations of objects and attributes in incomplete neighborhood systems ⋮ Semi-monolayer covering rough set on set-valued information systems and its efficient computation ⋮ Double-quantitative rough sets, optimal scale selection and reduction in multi-scale dominance if decision tables ⋮ Three-way decision on information tables ⋮ Incremental updating probabilistic approximations under multi-level and multi-dimensional variations in hybrid incomplete decision systems ⋮ A review of sequential three-way decision and multi-granularity learning
Cites Work
- Dominance-based rough set approach for group decisions
- Variable-precision-dominance-based rough set approach to interval-valued information systems
- \(\alpha\)-dominance relation and rough sets in interval-valued information systems
- Incremental update of approximations in dominance-based rough sets approach under the variation of attribute values
- Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values
- Stochastic dominance-based rough set model for ordinal classification
- Monotonic variable consistency rough set approaches
- Positive approximation: an accelerator for attribute reduction in rough set theory
- Rough set approach to multiple criteria classification with imprecise evaluations and assignments
- Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems
- Efficient updating rough approximations with multi-dimensional variation of ordered data
- Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems
- Incremental updating of rough approximations in interval-valued information systems under attribute generalization
- An automatic method to determine the number of clusters using decision-theoretic rough set
- An extension to rough \(c\)-means clustering based on decision-theoretic rough sets model
- Interval ordered information systems
- Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
- Multigranulation Decision-theoretic Rough Set in Ordered Information System
- Incremental Computing Approximations with the Dynamic Object set in Interval-valued Ordered Information System
- Rough sets
- Rough approximation by dominance relations
- Rough sets theory for multicriteria decision analysis
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