Test- and Rating Strategies for Data Based Rule Generation

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DC Field	Value	Language
dc.contributor.author	Jessen, Holger	de
dc.contributor.author	Slawinski, Timo	de
dc.date.accessioned	2004-12-07T08:19:41Z	-
dc.date.available	2004-12-07T08:19:41Z	-
dc.date.created	1998	de
dc.date.issued	1998-11-08	de
dc.identifier.uri	http://hdl.handle.net/2003/5351	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-8149	-
dc.description.abstract	The paper presents new strategies for testing and rating the relevance of rules in the Fuzzy-ROSA (Rule Oriented Statistic Analysis) method for data based rule generation. Specifc characteristics and differences between the proposed strategies are pointed out.	en
dc.format.extent	139387 bytes	-
dc.format.extent	905425 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 39	de
dc.subject	data based modeling	en
dc.subject	Fuzzy-ROSA method	en
dc.subject	Fuzzy systems	en
dc.subject	relevance test and rating	en
dc.subject	rule based modeling	en
dc.subject.ddc	004	de
dc.title	Test- and Rating Strategies for Data Based Rule Generation	en
dc.type	Text	de
dc.type.publicationtype	report	-
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 531

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