Uncertainty quantification in logistic regression using random fuzzy sets and belief functions.
Thierry DenoeuxPublished in: Int. J. Approx. Reason. (2024)
Keyphrases
- logistic regression
- belief functions
- fuzzy sets
- fuzzy numbers
- dempster shafer
- probability theory
- rough sets
- fuzzy set theory
- fuzzy logic
- membership functions
- uncertain information
- decision trees
- probability measures
- fuzzy rules
- logistic regression models
- interval valued
- loss function
- support vector
- computational intelligence
- naive bayes
- fuzzy relations
- fuzzy inference
- fuzzy reasoning
- fuzzy membership functions
- pattern recognition
- soft computing
- knn
- probabilistic model
- data mining
- interval type fuzzy sets
- image processing