A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples
| dc.citation.epage | 785 | en_US |
| dc.citation.issue | 7 | en_US |
| dc.citation.spage | 763 | en_US |
| dc.citation.volume | 31 | en_US |
| dc.citation.woscount | 7 | |
| dc.contributor.author | Chen, SM | en_US |
| dc.contributor.author | Lin, SY | en_US |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:44:48Z | |
| dc.date.available | 2014-12-08T15:44:48Z | |
| dc.date.issued | 2000-10-01 | en_US |
| dc.description.abstract | This paper presents a new method for constructing fuzzy decision trees and generating fuzzy classification rules from training instances using compound analysis techniques. The proposed method call generate simpler fuzzy classification rules and has a better classification accuracy rate than the existing method. Furthermore. the proposed method generated less fuzzy classification rules. | en_US |
| dc.identifier.issn | 0196-9722 | en_US |
| dc.identifier.journal | CYBERNETICS AND SYSTEMS | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/30240 | |
| dc.identifier.wosnumber | WOS:000089754000003 | |
| dc.language.iso | en_US | en_US |
| dc.title | A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples | en_US |
| dc.type | Article | en_US |