Abstract
Ordinal classification problems widely exist in the real world, and ordinal decision tree is one of the most important ways of dealing with the ordinal classification problems. In this paper, we introduce the fuzzy rank entropy and design a new ordinal decision tree algorithm (FREMT) based on the fuzzy rank mutual information, which is an extension of ordinal decision tree. The proposed algorithm selects the fuzzy rank mutual information as a split criterion, and it can not only be applied in crisp ordinal set, but also be used in the fuzzy ordinal set The numerical experiments show that its performance is superior to other methods as well as rank mutual information based ordinal decision tree algorithm (REMT).
Original language | English |
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Title of host publication | Proceedings of 2015 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2015 |
Publisher | IEEE |
Pages | 208-213 |
Number of pages | 6 |
ISBN (Electronic) | 9781467372244 |
DOIs | |
Publication status | Published - 9 Oct 2015 |
Externally published | Yes |
Event | 2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) - Holiday Inn Guangzhou Shifu, Guangzhou, China Duration: 12 Jul 2015 → 15 Jul 2015 |
Conference
Conference | 2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) |
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Country/Territory | China |
City | Guangzhou |
Period | 12/07/15 → 15/07/15 |
Keywords
- Fuzzy rank mutual information
- Ordinal classification
- Ordinal decision tree