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Weighted Pattern Trees: A Case Study with Customer Satisfaction Dataset

Huang, Zhiheng; Nikravesh, Masoud; Azvine, Ben; Gedeon, Tamas (Tom)


A pattern tree [1] 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]

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
Source: Proceedings of International Fuzzy Systems Association World Congress (IFSA 2007)


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02_Huang_Weighted_Pattern_Trees:_A_Case_2007.pdf161.66 kBAdobe PDF    Request a copy

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