Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification.
Binbin SangHongmei ChenJihong WanLei YangTianrui LiWeihua XuChuan LuoPublished in: Knowl. Based Syst. (2022)
Keyphrases
- rough sets
- fuzzy sets
- feature reduction
- dominance relation
- feature selection
- rule extraction
- decision rules
- rough set theory
- rough fuzzy
- soft computing
- classification accuracy
- fuzzy logic
- rule generation
- granular computing
- pattern recognition
- interval valued
- text classification
- text categorization
- rule induction
- feature extraction
- feature set
- knowledge reduction
- attribute reduction
- feature selection algorithms
- membership functions
- feature space
- set valued
- fuzzy rough sets
- information entropy
- data mining
- tool for data mining
- set pair analysis
- machine learning
- fuzzy rules
- decision table
- variable precision rough set model
- rough sets theory
- support vector machine
- data analysis
- computational theory
- continuous valued attributes
- rough set model
- decision trees
- neural network
- fuzzy numbers
- image processing
- fuzzy relations
- approximation spaces
- high dimensionality
- information granules
- face recognition
- rough approximations
- discernibility matrix
- classification algorithm
- artificial intelligence
- genetic algorithm
- fuzzy measures
- classification rules
- concept lattice