Fuzzy and Non-Fuzzy Classifiers
Double Weighted Fuzzy Gamma Naive Bayes
Double Weighted Fuzzy Hipergeometric Naive Bayes
Fuzzy Exponential Naive Bayes Classifier with Fuzzy parameters
Fuzzy Bayes Rule
Fuzzy Beta Naive Bayes
Fuzzy Binomial Naive Bayes
FuzzyClass: Fuzzy and Non-Fuzzy Classifiers
Fuzzy Exponential Naive Bayes
Fuzzy Gamma Naive Bayes
Fuzzy Gaussian Naive Bayes Classifier Zadeh-based
Fuzzy Naive Bayes Geometric Classifier
Fuzzy Hipergeometric Naive Bayes
Fuzzy Naive Bayes
Fuzzy Poisson Naive Bayes
Fuzzy Naive Bayes Trapezoidal Classifier
Fuzzy Naive Bayes Triangular Classifier
Fuzzy Gaussian Naive Bayes Classifier with Fuzzy parameters
Fuzzy Rule-based System
Fuzzy Poisson Naive Bayes Classifier with Fuzzy parameters
It provides classifiers which can be used for discrete variables and for continuous variables based on the Naive Bayes and Fuzzy Naive Bayes hypothesis. Those methods were developed by researchers belong to the 'Laboratory of Technologies for Virtual Teaching and Statistics (LabTEVE)' and 'Laboratory of Applied Statistics to Image Processing and Geoprocessing (LEAPIG)' at 'Federal University of Paraiba, Brazil'. They considered some statistical distributions and their papers were published in the scientific literature, as for instance, the Gaussian classifier using fuzzy parameters, proposed by 'Moraes, Ferreira and Machado' (2021) <doi:10.1007/s40815-020-00936-4>.
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