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 |
|---|---|
| Title of host publication | Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies |
| Editors | Rogelio Soto, Jose M. Sanchez, Francisco J. Cantu-Ortiz, Moraima Campbell |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 431-438 |
| Number of pages | 8 |
| ISBN (Electronic) | 9682994373, 9789682994371 |
| State | Published - 1996 |
| Externally published | Yes |
| Event | 1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996 - Cancun, Mexico Duration: 12 11 1996 → 15 11 1996 |
Publication series
| Name | Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies |
|---|
Conference
| Conference | 1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996 |
|---|---|
| Country/Territory | Mexico |
| City | Cancun |
| Period | 12/11/96 → 15/11/96 |
Bibliographical note
Publisher Copyright:© 1996 ITESM.