Using fuzzy-rough set evaluation for feature selection and Naive Bayes to classify the Parkinson disease
DOI10.18514/MMN.2022.3855OpenAlexW4313063327MaRDI QIDQ5057611
Naiyer Mohammadi Lanbaran, Özgür Kotan, Ercan Çelik
Publication date: 16 December 2022
Published in: Miskolc Mathematical Notes (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.18514/mmn.2022.3855
modelsParkinson's diseaseFeature selectionNaive BayesArtificial Neural-NetworkFuzzy-Rough subset evaluation
Fuzzy logic; logic of vagueness (03B52) Logic in artificial intelligence (68T27) Reasoning under uncertainty in the context of artificial intelligence (68T37) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)
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