A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples

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DC 欄位	值	語言
dc.contributor.author	Chen, SM	en_US
dc.contributor.author	Lin, SY	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.identifier.issn	0196-9722	en_US
dc.identifier.uri	http://hdl.handle.net/11536/30240	-
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.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
dc.identifier.journal	CYBERNETICS AND SYSTEMS	en_US
dc.citation.volume	31	en_US
dc.citation.issue	7	en_US
dc.citation.spage	763	en_US
dc.citation.epage	785	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:000089754000003	-
dc.citation.woscount	7	-
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