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Many decision making problems can be formulated as pattern classification problems. Therefore, high performing classification algorithms are highly sought after. Rule based pattern classification algorithms have an advantage that they do not appear to the user just as a “black box” but may provide additional insight based on the generated rules. In this paper, we focus on fuzzy rule based approaches...
Medical data classification is acknowledged as an area of increasing importance, yet also poses many difficulties. One of these is that medical datasets are often imbalanced; that is that there are (potentially many) more samples of some classes compared to others. In this paper, a dedicated algorithm - Undersampling Balanced Ensemble (USBE) - is used to deal with this problem. We then conduct an...
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