Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification.
Binbin SangHongmei ChenLei YangJihong WanTianrui LiWeihua XuPublished in: IEEE Trans. Fuzzy Syst. (2022)
Keyphrases
- rough sets
- fuzzy sets
- feature reduction
- dominance relation
- feature selection
- decision rules
- rule extraction
- rough fuzzy
- soft set
- rough set theory
- attribute reduction
- rough set model
- soft computing
- classification accuracy
- fuzzy logic
- fuzzy rough sets
- knowledge reduction
- pattern recognition
- text classification
- rule induction
- classification models
- rule generation
- feature set
- granular computing
- data mining
- fuzzy measures
- machine learning
- feature extraction
- feature space
- fuzzy rules
- neural network
- set valued
- rough approximations
- decision trees
- variable precision rough set model
- rough sets theory
- feature selection algorithms
- lower and upper approximations
- decision table
- text categorization
- tool for data mining
- information granulation
- set pair analysis
- approximation spaces
- equivalence relation
- concept lattice
- membership functions
- image processing
- computational theory
- topological relationships
- feature subset
- high dimensionality
- upper approximation
- artificial intelligence
- interval valued
- data analysis
- knn
- continuous valued attributes
- support vector machine
- fuzzy numbers
- multi criteria
- feature ranking
- information granules
- intuitionistic fuzzy