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dc.contributor.authorWang, SLen_US
dc.contributor.authorHsu, SHen_US
dc.date.accessioned2014-12-08T15:26:11Z-
dc.date.available2014-12-08T15:26:11Z-
dc.date.issued2003en_US
dc.identifier.isbn980-6560-05-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/18579-
dc.description.abstractThe authors propose a Hierarchical Case-based Knowledge Acquisition Method (HCBKA) based on Case-based Reasoning (CBR). The proposed KA method is made LIP of two components: a knowledge elicitation part in which Cognitive Task Analysis (CTA) techniques are applied to extract application-specific knowledge, and a knowledge organization part in which a case-based algorithm, hierarchical clustering, and ontology techniques are integrated to classify and encode case knowledge.en_US
dc.language.isoen_USen_US
dc.titleA hierarchical case knowledge acquisition method for troubleshootingen_US
dc.typeProceedings Paperen_US
dc.identifier.journalCCCT 2003, VOL 4, PROCEEDINGS: COMPUTER, COMMUNICATION AND CONTROL TECHNOLOGIES: Ien_US
dc.citation.spage346en_US
dc.citation.epage352en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000189126000064-
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