Abstract
In this paper, we present a document categorization method based on the hierarchical fuzzy networks. The proposed model employs the divide-and-conquer principle to resolve documents categorization problem based on a predefined hierarchical structure. The final classification framework can be interpreted as a hierarchical array of non-linear decision tree. Each node in the tree represents one filter. The fuzzy K-nearest-neighbor (KNN)-based filter decides that the unknown document belongs to the corresponding category or not. We use the Reuters-21578 news data set to evaluate the performance of the proposed method.
Original language | English |
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Pages | 720-723 |
Number of pages | 4 |
Publication status | Published - 2001 Dec 1 |
Event | 10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia Duration: 2001 Dec 2 → 2001 Dec 5 |
Other
Other | 10th IEEE International Conference on Fuzzy Systems |
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Country/Territory | Australia |
City | Melbourne |
Period | 01-12-02 → 01-12-05 |
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics