Pattern Tree Induction: A New Machine Learning Method
Fuzzy classification is one of the most important applications in fuzzy set and fuzzy-logic-related research. Its goal is to find a set of fuzzy rules that form a classification model. Most of the existing fuzzy rule induction methods (e.g., the fuzzy decision trees (FDTs) induction method) focus on searching rules consisting of triangular norms (t-norms) (i.e., and) only, but not triangular conorms (t-conorms) or) explicitly. This may lead to the omission of generating important rules that...[Show more]
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|Source:||IEEE Transactions on Fuzzy Systems|
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