Naive possibilistic classifiers for imprecise or uncertain numerical data.
Myriam BounhasMohammad Ghasemi HamedHenri PradeMathieu SerrurierKhaled MellouliPublished in: Fuzzy Sets Syst. (2014)
Keyphrases
- numerical data
- uncertain information
- categorical data
- possibility theory
- possibilistic logic
- data sets
- numerical values
- possibilistic networks
- training data
- imprecise information
- possibility distributions
- support vector
- naive bayes
- numerical attributes
- decision trees
- training set
- feature selection
- imprecise data
- decision making
- breast tumors
- feature set
- disclosure risk
- classification algorithm
- feature extraction
- data mining