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Generating fuzzy rules from relational database systems for estimating null values

dc.citation.epage723en_US
dc.citation.spage695en_US
dc.citation.volume28en_US
dc.citation.woscount16en_US
dc.contributor.authorChen, SMen_US
dc.contributor.authorYeh, MSen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.date.accessioned2019-04-02T05:58:47Z
dc.date.available2019-04-02T05:58:47Z
dc.date.issued1997-12-01en_US
dc.description.abstractThis paper presents a new algorithm for constructing fuzzy decision trees from relational database systems and generating fuzzy rules from the constructed fuzzy decision trees. We also present a method for dealing with the completeness of the constructed fuzzy decision trees. Based on the generated fuzzy rules, we also present a method for estimating null values in relational database systems. The proposed methods provide a useful way to estimate null values in relational database systems.en_US
dc.identifier.issn0196-9722en_US
dc.identifier.journalCYBERNETICS AND SYSTEMSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/149688
dc.identifier.wosnumberWOS:A1997YG88000004en_US
dc.language.isoen_USen_US
dc.titleGenerating fuzzy rules from relational database systems for estimating null valuesen_US
dc.typeArticleen_US

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