Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection
Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares the Mamdani fuzzy logic and Naïve Bayes in detecting dental diseases. Methods: The first is to process data on dental disease symptoms and dental support tissues based on com...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Airlangga
2022-10-01
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| Series: | Journal of Information Systems Engineering and Business Intelligence |
| Online Access: | https://e-journal.unair.ac.id/JISEBI/article/view/36690 |