Computer Science
4 years ago

Fuzzy Linguistic Fusion Boosts Accuracy of Decision-Making Naive Bayes Classifier

International Journal on Advanced Science Engineering and Information Technology
A Novel Fuzzy Linguistic Fusion Approach to Naive Bayes Classifier for Decision Making Applications
Bahari T. Femina, M. Sudheep Elayidom

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The researchers developed a new method to improve the accuracy of the Naive Bayes Classifier, a popular algorithm in data mining. By using fuzzy logic and linguistic terms, they were able to enhance the classifier's performance in decision-making tasks. The new approach showed better accuracy compared to the traditional method when tested on a standard dataset.