Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation.
Mahla MokhtiaMahdi EftekhariFarid Saberi MovahedPublished in: Appl. Soft Comput. (2020)
Keyphrases
- regression model
- feature selection
- fuzzy linguistic
- model selection
- mixed norm
- fuzzy sets
- regression methods
- generalized linear models
- gaussian process
- prediction model
- fuzzy logic
- linear regression model
- regression analysis
- multivariate regression
- group decision making
- fuzzy neural network
- linear model
- explanatory variables
- generalized linear
- text categorization
- membership functions
- interval valued data
- fuzzy numbers
- fuzzy rules
- feature extraction
- support vector
- high dimensional
- feature set
- text classification
- rule extraction
- fuzzy clustering
- support vector regression
- regression trees
- feature subset
- information gain
- linear regression models
- soft computing
- feature space
- classification accuracy
- machine learning
- fuzzy inference
- dimensionality reduction
- regression method
- sample size
- correlation coefficient
- multi task