Abstract
Overly generalized predictions are a serious problem in concept classification. In particular, the boundaries among classes are not always clearly defined. For example, there are usually uncertainties in diagnoses based on data from biochemical laboratory examinations. To avoid such problems, the idea of fuzzy classification is proposed. This paper presents the basic definition of fuzzy classification trees along with their construction algorithm. Instead of determining a single class for any given instance, fuzzy classification predicts the degree of possibility for every class.
| Original language | English |
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| Title of host publication | Proceedings of the Joint Conference on Intelligent Systems/ISAI/IFIS |
| Editors | Anon |
| Publisher | IEEE |
| Pages | 431-438 |
| Number of pages | 8 |
| Publication status | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS - Cancun, Mex Duration: Nov 12 1996 → Nov 15 1996 |
Other
| Other | Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS |
|---|---|
| City | Cancun, Mex |
| Period | 11/12/96 → 11/15/96 |
ASJC Scopus subject areas
- Engineering(all)