The article introduces a new lazy algorithm for creating decision trees using fuzzy logic. Instead of building a full tree for every training example, this algorithm only determines a specific path for each test case. This reduces the time needed for training but makes testing more complex. The researchers found that this new algorithm outperformed the traditional method in terms of robustness during experimental testing.