Feature selection and approximate reasoning of large-scale set-valued decision tables based on α-dominance-based quantitative rough sets.
Hong-Ying ZhangShu Yun YangPublished in: Inf. Sci. (2017)
Keyphrases
- rough sets
- dominance relation
- approximate reasoning
- rough set theory
- decision table
- set valued
- feature selection
- variable precision
- knowledge reduction
- fuzzy sets
- attribute reduction
- discernibility matrix
- decision rules
- granular computing
- information entropy
- data mining
- rough sets theory
- fuzzy set theory
- variable precision rough set
- ordered information systems
- rough mereology
- fuzzy logic
- rough set model
- pattern recognition
- soft computing
- rule sets
- data reduction
- real world
- concept lattice
- data analysis
- real time
- condition attributes
- machine learning
- approximation spaces
- feature set
- feature space
- control system
- nearest neighbor
- feature ranking