Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11032586 | Biocybernetics and Biomedical Engineering | 2018 | 11 Pages |
Abstract
The extracted features are referred to as fuzzy classifiers through the look-up table method. And, for evaluation of the results, the 10-fold method is used. Discretization operations are performed on training data across 2, 3, and 4 levels to develop concept hierarchy. Concept hierarchies reduce the data by replacing low-level concepts with higher-level concepts and the outcome is more meaningful and easier to interpret. Eventually, Bagging algorithm is used for finding out the majority vote and the final result of the discretization levels. The obtained accuracy is 89.37 ± 6.62.
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Authors
Mahsa Goudarzi, Keivan Maghooli,