Test- and Rating Strategies for Data Based Rule Generation

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.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.identifier.uri	http://hdl.handle.net/2003/5351
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-8149
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

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