Weighted Pattern Trees: A Case Study with Customer Satisfaction Dataset
A pattern tree  is a tree which propagates fuzzy terms using different fuzzy aggregations. Each pattern tree represents a structure for an output class in the sense that how the fuzzy terms aggregate to predict such a class. Unlike decision trees, pattern trees explicitly make use of t-norms (i.e., AND) and t-conorms (OR) to build trees, which is essential for applications requiring rules connected with t-conorms explicitly. Pattern trees can not only obtain high accuracy rates in...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of International Fuzzy Systems Association World Congress (IFSA 2007)|
|01_Huang_Weighted_Pattern_Trees:_A_Case_2007.pdf||522.1 kB||Adobe PDF||Request a copy|
|02_Huang_Weighted_Pattern_Trees:_A_Case_2007.pdf||161.66 kB||Adobe PDF||Request a copy|
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