The cost-sensitive approximation of neighborhood rough sets and granular layer selection.
Jie YangTian LuoLijuan ZengXin JinPublished in: J. Intell. Fuzzy Syst. (2022)
Keyphrases
- rough sets
- cost sensitive
- granular computing
- rough set theory
- approximation spaces
- misclassification costs
- upper approximation
- cost sensitive learning
- multi class
- fuzzy sets
- cost sensitive classification
- decision rules
- class distribution
- data mining
- soft computing
- information granules
- rule extraction
- active learning
- naive bayes
- pattern recognition
- data analysis
- rule induction
- dominance relation
- decision trees
- neural network
- learning process
- base classifiers
- model selection
- membership functions
- artificial intelligence
- information retrieval
- data points
- rough sets theory
- machine learning
- fuzzy rough sets